144 results on '"van Rooij, Frank J.A."'
Search Results
2. Trans-ethnic and Ancestry-Specific Blood-Cell Genetics in 746,667 Individuals from 5 Global Populations
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Chen, Ming-Huei, Raffield, Laura M., Mousas, Abdou, Sakaue, Saori, Huffman, Jennifer E., Moscati, Arden, Trivedi, Bhavi, Jiang, Tao, Akbari, Parsa, Vuckovic, Dragana, Bao, Erik L., Zhong, Xue, Manansala, Regina, Laplante, Véronique, Chen, Minhui, Lo, Ken Sin, Qian, Huijun, Lareau, Caleb A., Beaudoin, Mélissa, Hunt, Karen A., Akiyama, Masato, Bartz, Traci M., Ben-Shlomo, Yoav, Beswick, Andrew, Bork-Jensen, Jette, Bottinger, Erwin P., Brody, Jennifer A., van Rooij, Frank J.A., Chitrala, Kumaraswamynaidu, Cho, Kelly, Choquet, Hélène, Correa, Adolfo, Danesh, John, Di Angelantonio, Emanuele, Dimou, Niki, Ding, Jingzhong, Elliott, Paul, Esko, Tõnu, Evans, Michele K., Floyd, James S., Broer, Linda, Grarup, Niels, Guo, Michael H., Greinacher, Andreas, Haessler, Jeff, Hansen, Torben, Howson, Joanna M.M., Huang, Qin Qin, Huang, Wei, Jorgenson, Eric, Kacprowski, Tim, Kähönen, Mika, Kamatani, Yoichiro, Kanai, Masahiro, Karthikeyan, Savita, Koskeridis, Fotis, Lange, Leslie A., Lehtimäki, Terho, Lerch, Markus M., Linneberg, Allan, Liu, Yongmei, Lyytikäinen, Leo-Pekka, Manichaikul, Ani, Martin, Hilary C., Matsuda, Koichi, Mohlke, Karen L., Mononen, Nina, Murakami, Yoshinori, Nadkarni, Girish N., Nauck, Matthias, Nikus, Kjell, Ouwehand, Willem H., Pankratz, Nathan, Pedersen, Oluf, Preuss, Michael, Psaty, Bruce M., Raitakari, Olli T., Roberts, David J., Rich, Stephen S., Rodriguez, Benjamin A.T., Rosen, Jonathan D., Rotter, Jerome I., Schubert, Petra, Spracklen, Cassandra N., Surendran, Praveen, Tang, Hua, Tardif, Jean-Claude, Trembath, Richard C., Ghanbari, Mohsen, Völker, Uwe, Völzke, Henry, Watkins, Nicholas A., Zonderman, Alan B., Wilson, Peter W.F., Li, Yun, Butterworth, Adam S., Gauchat, Jean-François, Chiang, Charleston W.K., Li, Bingshan, Loos, Ruth J.F., Astle, William J., Evangelou, Evangelos, van Heel, David A., Sankaran, Vijay G., Okada, Yukinori, Soranzo, Nicole, Johnson, Andrew D., Reiner, Alexander P., Auer, Paul L., and Lettre, Guillaume
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- 2020
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3. The Polygenic and Monogenic Basis of Blood Traits and Diseases
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Vuckovic, Dragana, Bao, Erik L., Akbari, Parsa, Lareau, Caleb A., Mousas, Abdou, Jiang, Tao, Chen, Ming-Huei, Raffield, Laura M., Tardaguila, Manuel, Huffman, Jennifer E., Ritchie, Scott C., Megy, Karyn, Ponstingl, Hannes, Penkett, Christopher J., Albers, Patrick K., Wigdor, Emilie M., Sakaue, Saori, Moscati, Arden, Manansala, Regina, Lo, Ken Sin, Qian, Huijun, Akiyama, Masato, Bartz, Traci M., Ben-Shlomo, Yoav, Beswick, Andrew, Bork-Jensen, Jette, Bottinger, Erwin P., Brody, Jennifer A., van Rooij, Frank J.A., Chitrala, Kumaraswamy N., Wilson, Peter W.F., Choquet, Hélène, Danesh, John, Di Angelantonio, Emanuele, Dimou, Niki, Ding, Jingzhong, Elliott, Paul, Esko, Tõnu, Evans, Michele K., Felix, Stephan B., Floyd, James S., Broer, Linda, Grarup, Niels, Guo, Michael H., Guo, Qi, Greinacher, Andreas, Haessler, Jeff, Hansen, Torben, Howson, Joanna M.M., Huang, Wei, Jorgenson, Eric, Kacprowski, Tim, Kähönen, Mika, Kamatani, Yoichiro, Kanai, Masahiro, Karthikeyan, Savita, Koskeridis, Fotios, Lange, Leslie A., Lehtimäki, Terho, Linneberg, Allan, Liu, Yongmei, Lyytikäinen, Leo-Pekka, Manichaikul, Ani, Matsuda, Koichi, Mohlke, Karen L., Mononen, Nina, Murakami, Yoshinori, Nadkarni, Girish N., Nikus, Kjell, Pankratz, Nathan, Pedersen, Oluf, Preuss, Michael, Psaty, Bruce M., Raitakari, Olli T., Rich, Stephen S., Rodriguez, Benjamin A.T., Rosen, Jonathan D., Rotter, Jerome I., Schubert, Petra, Spracklen, Cassandra N., Surendran, Praveen, Tang, Hua, Tardif, Jean-Claude, Ghanbari, Mohsen, Völker, Uwe, Völzke, Henry, Watkins, Nicholas A., Weiss, Stefan, Cai, Na, Kundu, Kousik, Watt, Stephen B., Walter, Klaudia, Zonderman, Alan B., Cho, Kelly, Li, Yun, Loos, Ruth J.F., Knight, Julian C., Georges, Michel, Stegle, Oliver, Evangelou, Evangelos, Okada, Yukinori, Roberts, David J., Inouye, Michael, Johnson, Andrew D., Auer, Paul L., Astle, William J., Reiner, Alexander P., Butterworth, Adam S., Ouwehand, Willem H., Lettre, Guillaume, Sankaran, Vijay G., and Soranzo, Nicole
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- 2020
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4. Associations of Activity and Sleep With Quality of Life: A Compositional Data Analysis
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Verhoog, Sanne, Braun, Kim V.E., Bano, Arjola, van Rooij, Frank J.A., Franco, Oscar H., Koolhaas, Chantal M., and Voortman, Trudy
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- 2020
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5. Association between long-term use of calcium channel blockers (CCB) and the risk of breast cancer:a retrospective longitudinal observational study protocol
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Ho, Chau, Ha, Ninh Thi, Youens, David, Abhayaratna, Walter P., Bulsara, Max K., Hughes, Jeffery David, Mishra, Gita, Pearson, Sallie Anne, Preen, David B., Reid, Christopher M., Ruiter, Rikje, Saunders, Christobel M., Stricker, Bruno H., van Rooij, Frank J.A., Wright, Cameron, Moorin, Rachael, Ho, Chau, Ha, Ninh Thi, Youens, David, Abhayaratna, Walter P., Bulsara, Max K., Hughes, Jeffery David, Mishra, Gita, Pearson, Sallie Anne, Preen, David B., Reid, Christopher M., Ruiter, Rikje, Saunders, Christobel M., Stricker, Bruno H., van Rooij, Frank J.A., Wright, Cameron, and Moorin, Rachael
- Abstract
Introduction Calcium channel blockers (CCB), a commonly prescribed antihypertensive (AHT) medicine, may be associated with increased risk of breast cancer. The proposed study aims to examine whether long-term CCB use is associated with the development of breast cancer and to characterise the dose-response nature of any identified association, to inform future hypertension management. Methods and analysis The study will use data from 2 of Australia's largest cohort studies; the Australian Longitudinal Study on Women's Health, and the 45 and Up Study, combined with the Rotterdam Study. Eligible women will be those with diagnosed hypertension, no history of breast cancer and no prior CCB use at start of follow-up (2004-2009). Cumulative dose-duration exposure to CCB and other AHT medicines will be captured at the earliest date of: the outcome (a diagnosis of invasive breast cancer); a competing risk event (eg, bilateral mastectomy without a diagnosis of breast cancer, death prior to any diagnosis of breast cancer) or end of follow-up (censoring event). Fine and Gray competing risks regression will be used to assess the association between CCB use and development of breast cancer using a generalised propensity score to adjust for baseline covariates. Time-varying covariates related to interaction with health services will also be included in the model. Data will be harmonised across cohorts to achieve identical protocols and a two-step random effects individual patient-level meta-analysis will be used. Ethics and dissemination Ethical approval was obtained from the following Human research Ethics Committees: Curtin University (ref No. HRE2022-0335), NSW Population and Health Services Research Ethics Committee (2022/ETH01392/2022.31), ACT Research Ethics and Governance Office approval under National Mutual Acceptance for multijurisdictional data linkage research (2022.STE.00208). Results of the proposed study will be published in high-impact journals and presented at
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- 2024
6. Objectively measured sedentary time and mental and cognitive health: Cross-sectional and longitudinal associations in The Rotterdam Study
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Koolhaas, Chantal M., van Rooij, Frank J.A., Kocevska, Desana, Luik, Annemarie I., Ikram, M. Arfan, Franco, Oscar H., and Tiemeier, Henning
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- 2019
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7. A genetic association study of circulating coagulation Factor VIII and von Willebrand Factor levels
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de Vries, Paul S., primary, Reventun, Paula, additional, Brown, Michael R, additional, Heath, Adam S, additional, Huffman, Jennifer E., additional, Le, Ngoc-Quynh, additional, Bebo, Allison, additional, Brody, Jennifer A, additional, Temprano-Sagrera, Gerard, additional, Raffield, Laura M, additional, Ozel, Ayse Bilge, additional, Thibord, Florian, additional, Jain, Deepti, additional, Lewis, Joshua P, additional, Rodriguez, Benjamin A.T., additional, Pankratz, Nathan, additional, Taylor, Kent D, additional, Polasek, Ozren, additional, Chen, Ming-Huei, additional, Yanek, Lisa R, additional, Carrasquilla, German, additional, Marioni, Riccardo, additional, Kleber, Marcus E, additional, Trégouët, David-Alexandre, additional, Yao, Jie, additional, Li-Gao, Ruifang, additional, Joshi, Peter K, additional, Trompet, Stella, additional, Martinez-Perez, Angel, additional, Ghanbari, Mohsen, additional, Howard, Tom E., additional, Reiner, Alex P, additional, Arvanitis, Marios, additional, Ryan, Kathleen A, additional, Bartz, Traci M, additional, Rudan, Igor, additional, Faraday, Nauder, additional, Linneberg, Allan, additional, Ekunwe, Lynette, additional, Davies, Gail, additional, Delgado, Graciela E, additional, Suchon, Pierre, additional, Guo, Xiuqing, additional, Rosendaal, Frits R., additional, Klaric, Lucija, additional, Noordam, Raymond, additional, van Rooij, Frank J.A., additional, Curran, Joanne, additional, Wheeler, Marsha Maria, additional, Osburn, William O, additional, O'Connell, Jeffrey R, additional, Boerwinkle, Eric, additional, Beswick, Andrew, additional, Psaty, Bruce M., additional, Kolcic, Ivana, additional, Souto, Juan Carlos Carlos, additional, Becker, Lewis, additional, Hansen, Torben, additional, Doyle, Margaret F., additional, Harris, Sarah, additional, Moissl, Angela Patricia, additional, Deleuze, Jean-François, additional, Rich, Stephen S, additional, van Hylckama Vlieg, Astrid, additional, Campbell, Harry, additional, Stott, David, additional, Soria, Jose Manuel, additional, de Maat, Moniek P.M., additional, Almasy, Laura, additional, Brody, Lawrence C., additional, Auer, Paul, additional, Mitchell, Braxton D, additional, Ben-Shlomo, Yoav, additional, Fornage, Myriam, additional, Hayward, Caroline, additional, Mathias, Rasika, additional, Kilpeläinen, Tuomas O, additional, Lange, Leslie, additional, Cox, Simon R, additional, Maerz, Winfried, additional, Morange, Pierre-Emmanuel, additional, Rotter, Jerome I, additional, Mook-Kanamori, Dennis O, additional, Wilson, James, additional, van der Harst, Pim, additional, Jukema, Johan Wouter W., additional, Ikram, Mohammad Arfan, additional, Blangero, John, additional, Kooperberg, Charles, additional, Desch, Karl, additional, Johnson, Andrew D., additional, Sabater-Lleal, Maria, additional, Lowenstein, Charles, additional, Smith, Nicholas L., additional, and Morrison, Alanna, additional
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- 2024
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8. The association between lifestyle and overall health, using the frailty index
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Brinkman, Stef, Voortman, Trudy, Kiefte-de Jong, Jessica C., van Rooij, Frank J.A., Ikram, M. Arfan, Rivadeneira, Fernando, Franco, Oscar H., and Schoufour, Josje D.
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- 2018
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9. Objective Measures of Activity in the Elderly: Distribution and Associations With Demographic and Health Factors
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Koolhaas, Chantal M., van Rooij, Frank J.A., Schoufour, Josje D., Cepeda, Magda, Tiemeier, Henning, Brage, Soren, and Franco, Oscar H.
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- 2017
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10. Sedentary time assessed by actigraphy and mortality: The Rotterdam Study
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Koolhaas, Chantal M., Dhana, Klodian, van Rooij, Frank J.A., Kocevska, Desana, Hofman, Albert, Franco, Oscar H., and Tiemeier, Henning
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- 2017
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11. Genome-wide Trans-ethnic Meta-analysis Identifies Seven Genetic Loci Influencing Erythrocyte Traits and a Role for RBPMS in Erythropoiesis
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van Rooij, Frank J.A., Qayyum, Rehan, Smith, Albert V., Zhou, Yi, Trompet, Stella, Tanaka, Toshiko, Keller, Margaux F., Chang, Li-Ching, Schmidt, Helena, Yang, Min-Lee, Chen, Ming-Huei, Hayes, James, Johnson, Andrew D., Yanek, Lisa R., Mueller, Christian, Lange, Leslie, Floyd, James S., Ghanbari, Mohsen, Zonderman, Alan B., Jukema, J. Wouter, Hofman, Albert, van Duijn, Cornelia M., Desch, Karl C., Saba, Yasaman, Ozel, Ayse B., Snively, Beverly M., Wu, Jer-Yuarn, Schmidt, Reinhold, Fornage, Myriam, Klein, Robert J., Fox, Caroline S., Matsuda, Koichi, Kamatani, Naoyuki, Wild, Philipp S., Stott, David J., Ford, Ian, Slagboom, P. Eline, Yang, Jaden, Chu, Audrey Y., Lambert, Amy J., Uitterlinden, André G., Franco, Oscar H., Hofer, Edith, Ginsburg, David, Hu, Bella, Keating, Brendan, Schick, Ursula M., Brody, Jennifer A., Li, Jun Z., Chen, Zhao, Zeller, Tanja, Guralnik, Jack M., Chasman, Daniel I., Peters, Luanne L., Kubo, Michiaki, Becker, Diane M., Li, Jin, Eiriksdottir, Gudny, Rotter, Jerome I., Levy, Daniel, Grossmann, Vera, Patel, Kushang V., Chen, Chien-Hsiun, Ridker, Paul M., Tang, Hua, Launer, Lenore J., Rice, Kenneth M., Li-Gao, Ruifang, Ferrucci, Luigi, Evans, Michelle K., Choudhuri, Avik, Trompouki, Eirini, Abraham, Brian J., Yang, Song, Takahashi, Atsushi, Kamatani, Yoichiro, Kooperberg, Charles, Harris, Tamara B., Jee, Sun Ha, Coresh, Josef, Tsai, Fuu-Jen, Longo, Dan L., Chen, Yuan-Tsong, Felix, Janine F., Yang, Qiong, Psaty, Bruce M., Boerwinkle, Eric, Becker, Lewis C., Mook-Kanamori, Dennis O., Wilson, James G., Gudnason, Vilmundur, O'Donnell, Christopher J., Dehghan, Abbas, Cupples, L. Adrienne, Nalls, Michael A., Morris, Andrew P., Okada, Yukinori, Reiner, Alexander P., Zon, Leonard I., and Ganesh, Santhi K.
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- 2017
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12. Platelet-Related Variants Identified by Exomechip Meta-analysis in 157,293 Individuals
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Eicher, John D., Chami, Nathalie, Kacprowski, Tim, Nomura, Akihiro, Chen, Ming-Huei, Yanek, Lisa R., Tajuddin, Salman M., Schick, Ursula M., Slater, Andrew J., Pankratz, Nathan, Polfus, Linda, Schurmann, Claudia, Giri, Ayush, Brody, Jennifer A., Lange, Leslie A., Manichaikul, Ani, Hill, W. David, Pazoki, Raha, Elliot, Paul, Evangelou, Evangelos, Tzoulaki, Ioanna, Gao, He, Vergnaud, Anne-Claire, Mathias, Rasika A., Becker, Diane M., Becker, Lewis C., Burt, Amber, Crosslin, David R., Lyytikäinen, Leo-Pekka, Nikus, Kjell, Hernesniemi, Jussi, Kähönen, Mika, Raitoharju, Emma, Mononen, Nina, Raitakari, Olli T., Lehtimäki, Terho, Cushman, Mary, Zakai, Neil A., Nickerson, Deborah A., Raffield, Laura M., Quarells, Rakale, Willer, Cristen J., Peloso, Gina M., Abecasis, Goncalo R., Liu, Dajiang J., Deloukas, Panos, Samani, Nilesh J., Schunkert, Heribert, Erdmann, Jeanette, Fornage, Myriam, Richard, Melissa, Tardif, Jean-Claude, Rioux, John D., Dube, Marie-Pierre, de Denus, Simon, Lu, Yingchang, Bottinger, Erwin P., Loos, Ruth J.F., Smith, Albert Vernon, Harris, Tamara B., Launer, Lenore J., Gudnason, Vilmundur, Velez Edwards, Digna R., Torstenson, Eric S., Liu, Yongmei, Tracy, Russell P., Rotter, Jerome I., Rich, Stephen S., Highland, Heather M., Boerwinkle, Eric, Li, Jin, Lange, Ethan, Wilson, James G., Mihailov, Evelin, Mägi, Reedik, Hirschhorn, Joel, Metspalu, Andres, Esko, Tõnu, Vacchi-Suzzi, Caterina, Nalls, Mike A., Zonderman, Alan B., Evans, Michele K., Engström, Gunnar, Orho-Melander, Marju, Melander, Olle, O’Donoghue, Michelle L., Waterworth, Dawn M., Wallentin, Lars, White, Harvey D., Floyd, James S., Bartz, Traci M., Rice, Kenneth M., Psaty, Bruce M., Starr, J.M., Liewald, David C.M., Hayward, Caroline, Deary, Ian J., Greinacher, Andreas, Völker, Uwe, Thiele, Thomas, Völzke, Henry, van Rooij, Frank J.A., Uitterlinden, André G., Franco, Oscar H., Dehghan, Abbas, Edwards, Todd L., Ganesh, Santhi K., Kathiresan, Sekar, Faraday, Nauder, Auer, Paul L., Reiner, Alex P., Lettre, Guillaume, and Johnson, Andrew D.
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- 2016
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13. Exome Genotyping Identifies Pleiotropic Variants Associated with Red Blood Cell Traits
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Chami, Nathalie, Chen, Ming-Huei, Slater, Andrew J., Eicher, John D., Evangelou, Evangelos, Tajuddin, Salman M., Love-Gregory, Latisha, Kacprowski, Tim, Schick, Ursula M., Nomura, Akihiro, Giri, Ayush, Lessard, Samuel, Brody, Jennifer A., Schurmann, Claudia, Pankratz, Nathan, Yanek, Lisa R., Manichaikul, Ani, Pazoki, Raha, Mihailov, Evelin, Hill, W. David, Raffield, Laura M., Burt, Amber, Bartz, Traci M., Becker, Diane M., Becker, Lewis C., Boerwinkle, Eric, Bork-Jensen, Jette, Bottinger, Erwin P., O’Donoghue, Michelle L., Crosslin, David R., de Denus, Simon, Dubé, Marie-Pierre, Elliott, Paul, Engström, Gunnar, Evans, Michele K., Floyd, James S., Fornage, Myriam, Gao, He, Greinacher, Andreas, Gudnason, Vilmundur, Hansen, Torben, Harris, Tamara B., Hayward, Caroline, Hernesniemi, Jussi, Highland, Heather M., Hirschhorn, Joel N., Hofman, Albert, Irvin, Marguerite R., Kähönen, Mika, Lange, Ethan, Launer, Lenore J., Lehtimäki, Terho, Li, Jin, Liewald, David C.M., Linneberg, Allan, Liu, Yongmei, Lu, Yingchang, Lyytikäinen, Leo-Pekka, Mägi, Reedik, Mathias, Rasika A., Melander, Olle, Metspalu, Andres, Mononen, Nina, Nalls, Mike A., Nickerson, Deborah A., Nikus, Kjell, O’Donnell, Chris J., Orho-Melander, Marju, Pedersen, Oluf, Petersmann, Astrid, Polfus, Linda, Psaty, Bruce M., Raitakari, Olli T., Raitoharju, Emma, Richard, Melissa, Rice, Kenneth M., Rivadeneira, Fernando, Rotter, Jerome I., Schmidt, Frank, Smith, Albert Vernon, Starr, John M., Taylor, Kent D., Teumer, Alexander, Thuesen, Betina H., Torstenson, Eric S., Tracy, Russell P., Tzoulaki, Ioanna, Zakai, Neil A., Vacchi-Suzzi, Caterina, van Duijn, Cornelia M., van Rooij, Frank J.A., Cushman, Mary, Deary, Ian J., Velez Edwards, Digna R., Vergnaud, Anne-Claire, Wallentin, Lars, Waterworth, Dawn M., White, Harvey D., Wilson, James G., Zonderman, Alan B., Kathiresan, Sekar, Grarup, Niels, Esko, Tõnu, Loos, Ruth J.F., Lange, Leslie A., Faraday, Nauder, Abumrad, Nada A., Edwards, Todd L., Ganesh, Santhi K., Auer, Paul L., Johnson, Andrew D., Reiner, Alexander P., and Lettre, Guillaume
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- 2016
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14. Large-Scale Exome-wide Association Analysis Identifies Loci for White Blood Cell Traits and Pleiotropy with Immune-Mediated Diseases
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Tajuddin, Salman M., Schick, Ursula M., Eicher, John D., Chami, Nathalie, Giri, Ayush, Brody, Jennifer A., Hill, W. David, Kacprowski, Tim, Li, Jin, Lyytikäinen, Leo-Pekka, Manichaikul, Ani, Mihailov, Evelin, O’Donoghue, Michelle L., Pankratz, Nathan, Pazoki, Raha, Polfus, Linda M., Smith, Albert Vernon, Schurmann, Claudia, Vacchi-Suzzi, Caterina, Waterworth, Dawn M., Evangelou, Evangelos, Yanek, Lisa R., Burt, Amber, Chen, Ming-Huei, van Rooij, Frank J.A., Floyd, James S., Greinacher, Andreas, Harris, Tamara B., Highland, Heather M., Lange, Leslie A., Liu, Yongmei, Mägi, Reedik, Nalls, Mike A., Mathias, Rasika A., Nickerson, Deborah A., Nikus, Kjell, Starr, John M., Tardif, Jean-Claude, Tzoulaki, Ioanna, Velez Edwards, Digna R., Wallentin, Lars, Bartz, Traci M., Becker, Lewis C., Denny, Joshua C., Raffield, Laura M., Rioux, John D., Friedrich, Nele, Fornage, Myriam, Gao, He, Hirschhorn, Joel N., Liewald, David C.M., Rich, Stephen S., Uitterlinden, Andre, Bastarache, Lisa, Becker, Diane M., Boerwinkle, Eric, de Denus, Simon, Bottinger, Erwin P., Hayward, Caroline, Hofman, Albert, Homuth, Georg, Lange, Ethan, Launer, Lenore J., Lehtimäki, Terho, Lu, Yingchang, Metspalu, Andres, O’Donnell, Chris J., Quarells, Rakale C., Richard, Melissa, Torstenson, Eric S., Taylor, Kent D., Vergnaud, Anne-Claire, Zonderman, Alan B., Crosslin, David R., Deary, Ian J., Dörr, Marcus, Elliott, Paul, Evans, Michele K., Gudnason, Vilmundur, Kähönen, Mika, Psaty, Bruce M., Rotter, Jerome I., Slater, Andrew J., Dehghan, Abbas, White, Harvey D., Ganesh, Santhi K., Loos, Ruth J.F., Esko, Tõnu, Faraday, Nauder, Wilson, James G., Cushman, Mary, Johnson, Andrew D., Edwards, Todd L., Zakai, Neil A., Lettre, Guillaume, Reiner, Alex P., and Auer, Paul L.
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- 2016
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15. Predicting amyloid-beta pathology in the general population
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Nguyen Ho, Phuong Thuy, van Arendonk, Joyce, Steketee, Rebecca M.E., van Rooij, Frank J.A., Roshchupkin, Gennady V., Ikram, M. Arfan, Vernooij, Meike W., Neitzel, Julia, Radiology & Nuclear Medicine, and Epidemiology
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SDG 3 - Good Health and Well-being - Abstract
INTRODUCTION: Reliable models to predict amyloid beta (Aβ) positivity in the general aging population are lacking but could become cost-efficient tools to identify individuals at risk of developing Alzheimer's disease. METHODS: We developed Aβ prediction models in the clinical Anti-Amyloid Treatment in Asymptomatic Alzheimer's (A4) Study (n = 4,119) including a broad range of easily ascertainable predictors (demographics, cognition and daily functioning, health and lifestyle factors). Importantly, we determined the generalizability of our models in the population-based Rotterdam Study (n = 500). RESULTS: The best performing model in the A4 Study (area under the curve [AUC] = 0.73 [0.69–0.76]), including age, apolipoprotein E (APOE) ε4 genotype, family history of dementia, and subjective and objective measures of cognition, walking duration and sleep behavior, was validated in the independent Rotterdam Study with higher accuracy (AUC = 0.85 [0.81–0.89]). Yet, the improvement relative to a model including only age and APOE ε4 was marginal. DISCUSSION: Aβ prediction models including inexpensive and non-invasive measures were successfully applied to a general population–derived sample more representative of typical older non-demented adults.
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- 2023
16. Risk factors for inguinal hernia in middle-aged and elderly men: Results from the Rotterdam Study
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de Goede, Barry, Timmermans, Lucas, van Kempen, Bob J.H., van Rooij, Frank J.A., Kazemier, Geert, Lange, Johan F., Hofman, Albert, and Jeekel, Johannes
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- 2015
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17. Serum testosterone levels in males are not associated with entrepreneurial behavior in two independent observational studies
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van der Loos, Matthijs J.H.M., Haring, Robin, Rietveld, Cornelius A., Baumeister, Sebastian E., Groenen, Patrick J.F., Hofman, Albert, de Jong, Frank H., Koellinger, Philipp D., Kohlmann, Thomas, Nauck, Matthias A., Rivadeneira, Fernando, Uitterlinden, André G., van Rooij, Frank J.A., Wallaschofski, Henri, and Thurik, A. Roy
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- 2013
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18. Higher Magnesium Intake Is Associated with Lower Fasting Glucose and Insulin, with No Evidence of Interaction with Select Genetic Loci, in a Meta-Analysis of 15 CHARGE Consortium Studies
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Hruby, Adela, Ngwa, Julius S., Renström, Frida, Wojczynski, Mary K., Ganna, Andrea, Hallmans, Göran, Houston, Denise K., Jacques, Paul F., Kanoni, Stavroula, Lehtimäki, Terho, Lemaitre, Rozenn N., Manichaikul, Ani, North, Kari E., Ntalla, Ioanna, Sonestedt, Emily, Tanaka, Toshiko, van Rooij, Frank J.A., Bandinelli, Stefania, Djoussé, Luc, Grigoriou, Efi, Johansson, Ingegerd, Lohman, Kurt K., Pankow, James S., Raitakari, Olli T., Riserus, Ulf, Yannakoulia, Mary, Zillikens, M. Carola, Hassanali, Neelam, Liu, Yongmei, Mozaffarian, Dariush, Papoutsakis, Constantina, Syvänen, Ann-Christine, Uitterlinden, André G., Viikari, Jorma, Groves, Christopher J., Hofman, Albert, Lind, Lars, McCarthy, Mark I., Mikkilä, Vera, Mukamal, Kenneth, Franco, Oscar H., Borecki, Ingrid B., Cupples, L. Adrienne, Dedoussis, George V., Ferrucci, Luigi, Hu, Frank B., Ingelsson, Erik, Kähönen, Mika, Kao, W. H. Linda, Kritchevsky, Stephen B., Orho-Melander, Marju, Prokopenko, Inga, Rotter, Jerome I., Siscovick, David S., Witteman, Jacqueline C.M., Franks, Paul W., Meigs, James B., McKeown, Nicola M., and Nettleton, Jennifer A.
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- 2013
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19. Gain-of-Function Lipoprotein Lipase Variant rs13702 Modulates Lipid Traits through Disruption of a MicroRNA-410 Seed Site
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Richardson, Kris, Nettleton, Jennifer A., Rotllan, Noemi, Tanaka, Toshiko, Smith, Caren E., Lai, Chao-Qiang, Parnell, Laurence D., Lee, Yu-Chi, Lahti, Jari, Lemaitre, Rozenn N., Manichaikul, Ani, Keller, Margaux, Mikkilä, Vera, Ngwa, Julius, van Rooij, Frank J.A., Ballentyne, Christie M., Borecki, Ingrid B., Cupples, L. Adrienne, Garcia, Melissa, Hofman, Albert, Ferrucci, Luigi, Mozaffarian, Dariush, Perälä, Mia-Maria, Raitakari, Olli, Tracy, Russell P., Arnett, Donna K., Bandinelli, Stefania, Boerwinkle, Eric, Eriksson, Johan G., Franco, Oscar H., Kähönen, Mika, Nalls, Michael, Siscovick, David S., Houston, Denise K., Psaty, Bruce M., Viikari, Jorma, Witteman, Jacqueline C.M., Goodarzi, Mark O., Lehtimäki, Terho, Liu, Yongmei, Zillikens, M. Carola, Chen, Yii-Der I., Uitterlinden, André G., Rotter, Jerome I., Fernandez-Hernando, Carlos, and Ordovas, Jose M.
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- 2013
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20. Prevalence and risk factors of non-alcoholic fatty liver disease in the elderly: Results from the Rotterdam study
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Koehler, Edith M., Schouten, Jeoffrey N.L., Hansen, Bettina E., van Rooij, Frank J.A., Hofman, Albert, Stricker, Bruno H., and Janssen, Harry L.A.
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- 2012
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21. Long-Term Follow-Up After Fractional Flow Reserve–Guided Treatment Strategy in Patients With an Isolated Proximal Left Anterior Descending Coronary Artery Stenosis
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Muller, Olivier, Mangiacapra, Fabio, Ntalianis, Argyrios, Verhamme, Katia M.C., Trana, Catalina, Hamilos, Michalis, Bartunek, Jozef, Vanderheyden, Marc, Wyffels, Eric, Heyndrickx, Guy R., van Rooij, Frank J.A., Witteman, Jacqueline C.M., Hofman, Albert, Wijns, William, Barbato, Emanuele, and De Bruyne, Bernard
- Published
- 2011
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22. Prevalence, Incidence, and Lifetime Risk for the Development of COPD in the Elderly: The Rotterdam Study
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van Durme, Yannick M.T.A., Verhamme, Katia M.C., Stijnen, Theo, van Rooij, Frank J.A., Van Pottelberge, Geert R., Hofman, Albert, Joos, Guy F., Stricker, Bruno H.Ch., and Brusselle, Guy G.
- Published
- 2009
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23. Matrix metalloproteinase 3 haplotypes and dementia and Alzheimer's disease: The Rotterdam Study
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Reitz, Christiane, van Rooij, Frank J.A., de Maat, Moniek P.M., Heijer, Tom den, Hofman, Albert, Witteman, Jacqueline C.M., and Breteler, Monique M.B.
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- 2008
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24. Cigarette smoking and risk of atrial fibrillation: The Rotterdam Study
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Heeringa, Jan, Kors, Jan A., Hofman, Albert, van Rooij, Frank J.A., and Witteman, Jacqueline C.M.
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- 2008
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25. Trans-ethnic meta-analysis of white blood cell phenotypes
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Keller, Margaux F., Reiner, Alexander P., Okada, Yukinori, van Rooij, Frank J.A., Johnson, Andrew D., Chen, Ming-Huei, Smith, Albert V., Morris, Andrew P., Tanaka, Toshiko, Ferrucci, Luigi, Zonderman, Alan B., Lettre, Guillaume, Harris, Tamara, Garcia, Melissa, Bandinelli, Stefania, Qayyum, Rehan, Yanek, Lisa R., Becker, Diane M., Becker, Lewis C., Kooperberg, Charles, Keating, Brendan, Reis, Jared, Tang, Hua, Boerwinkle, Eric, Kamatani, Yoichiro, Matsuda, Koichi, Kamatani, Naoyuki, Nakamura, Yusuke, Kubo, Michiaki, Liu, Simin, Dehghan, Abbas, Felix, Janine F., Hofman, Albert, Uitterlinden, André G., van Duijn, Cornelia M., Franco, Oscar H., Longo, Dan L., Singleton, Andrew B., Psaty, Bruce M., Evans, Michelle K., Cupples, L. Adrienne, Rotter, Jerome I., OʼDonnell, Christopher J., Takahashi, Atsushi, Wilson, James G., Ganesh, Santhi K., and Nalls, Mike A.
- Published
- 2014
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26. FTO genetic variants, dietary intake and body mass index: insights from 177 330 individuals
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Qi, Qibin, Kilpeläinen, Tuomas O., Downer, Mary K., Tanaka, Toshiko, Smith, Caren E., Sluijs, Ivonne, Sonestedt, Emily, Chu, Audrey Y., Renström, Frida, Lin, Xiaochen, Ängquist, Lars H., Huang, Jinyan, Liu, Zhonghua, Li, Yanping, Asif Ali, Muhammad, Xu, Min, Ahluwalia, Tarunveer Singh, Boer, Jolanda M.A., Chen, Peng, Daimon, Makoto, Eriksson, Johan, Perola, Markus, Friedlander, Yechiel, Gao, Yu-Tang, Heppe, Denise H.M., Holloway, John W., Houston, Denise K., Kanoni, Stavroula, Kim, Yu-Mi, Laaksonen, Maarit A., Jääskeläinen, Tiina, Lee, Nanette R., Lehtimäki, Terho, Lemaitre, Rozenn N., Lu, Wei, Luben, Robert N., Manichaikul, Ani, Männistö, Satu, Marques-Vidal, Pedro, Monda, Keri L., Ngwa, Julius S., Perusse, Louis, van Rooij, Frank J.A., Xiang, Yong-Bing, Wen, Wanqing, Wojczynski, Mary K, Zhu, Jingwen, Borecki, Ingrid B., Bouchard, Claude, Cai, Qiuyin, Cooper, Cyrus, Dedoussis, George V., Deloukas, Panos, Ferrucci, Luigi, Forouhi, Nita G., Hansen, Torben, Christiansen, Lene, Hofman, Albert, Johansson, Ingegerd, Jørgensen, Torben, Karasawa, Shigeru, Khaw, Kay-Tee, Kim, Mi-Kyung, Kristiansson, Kati, Li, Huaixing, Lin, Xu, Liu, Yongmei, Lohman, Kurt K., Long, Jirong, Mikkilä, Vera, Mozaffarian, Dariush, North, Kari, Pedersen, Oluf, Raitakari, Olli, Rissanen, Harri, Tuomilehto, Jaakko, van der Schouw, Yvonne T., Uitterlinden, André G., Zillikens, M. Carola, Franco, Oscar H., Shyong Tai, E., Ou Shu, Xiao, Siscovick, David S., Toft, Ulla, Verschuren, W.M. Monique, Vollenweider, Peter, Wareham, Nicholas J., Witteman, Jacqueline C.M., Zheng, Wei, Ridker, Paul M., Kang, Jae H., Liang, Liming, Jensen, Majken K., Curhan, Gary C., Pasquale, Louis R., Hunter, David J., Mohlke, Karen L., Uusitupa, Matti, Cupples, L. Adrienne, Rankinen, Tuomo, Orho-Melander, Marju, Wang, Tao, Chasman, Daniel I., Franks, Paul W., Sørensen, Thorkild I.A., Hu, Frank B., Loos, Ruth J. F., Nettleton, Jennifer A., and Qi, Lu
- Published
- 2014
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27. Multiple Nonglycemic Genomic Loci Are Newly Associated With Blood Level of Glycated Hemoglobin in East Asians
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Chen, Peng, Takeuchi, Fumihiko, Lee, Jong-Young, Li, Huaixing, Wu, Jer-Yuarn, Liang, Jun, Long, Jirong, Tabara, Yasuharu, Goodarzi, Mark O., Pereira, Mark A., Kim, Young Jin, Go, Min Jin, Stram, Daniel O., Vithana, Eranga, Khor, Chiea-Chuen, Liu, Jianjun, Liao, Jiemin, Ye, Xingwang, Wang, Yiqin, Lu, Ling, Young, Terri L., Lee, Jeannette, Thai, Ah Chuan, Cheng, Ching-Yu, van Dam, Rob M., Friedlander, Yechiel, Heng, Chew-Kiat, Koh, Woon-Puay, Chen, Chien-Hsiun, Chang, Li-Ching, Pan, Wen-Harn, Qi, Qibin, Isono, Masato, Zheng, Wei, Cai, Qiuyin, Gao, Yutang, Yamamoto, Ken, Ohnaka, Keizo, Takayanagi, Ryoichi, Kita, Yoshikuni, Ueshima, Hirotsugu, Hsiung, Chao A., Cui, Jinrui, Sheu, Wayne H.-H., Rotter, Jerome I., Chen, Yii-Der I., Hsu, Chris, Okada, Yukinori, Kubo, Michiaki, Takahashi, Atsushi, Tanaka, Toshihiro, van Rooij, Frank J.A., Ganesh, Santhi K., Huang, Jinyan, Huang, Tao, Yuan, Jianmin, Hwang, Joo-Yeon, Gross, Myron D., Assimes, Themistocles L., Miki, Tetsuro, Shu, Xiao-Ou, Qi, Lu, Chen, Yuan-Tson, Lin, Xu, Aung, Tin, Wong, Tien-Yin, Teo, Yik-Ying, Kim, Bong-Jo, Kato, Norihiro, and Tai, E-Shyong
- Published
- 2014
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28. Genome-wide association study identifies 48 common genetic variants associated with handedness
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Cuellar-Partida, Gabriel, Tung, Joyce Y., Eriksson, Nicholas, Albrecht, Eva, Aliev, Fazil, Andreassen, Ole A., Barroso, Inês, Beckmann, Jacques S., Boks, Marco P., Boomsma, Dorret I., Boyd, Heather A., Breteler, Monique M.B., Campbell, Harry, Chasman, Daniel I., Cherkas, Lynn F., Davies, Gail, de Geus, Eco J.C., Deary, Ian J., Deloukas, Panos, Dick, Danielle M., Duffy, David L., Eriksson, Johan G., Esko, Tõnu, Feenstra, Bjarke, Geller, Frank, Gieger, Christian, Giegling, Ina, Gordon, Scott D., Han, Jiali, Hansen, Thomas F., Hartmann, Annette M., Hayward, Caroline, Heikkilä, Kauko, Hicks, Andrew A., Hirschhorn, Joel N., Hottenga, Jouke Jan, Huffman, Jennifer E., Hwang, Liang Dar, Ikram, M. Arfan, Kaprio, Jaakko, Kemp, John P., Khaw, Kay Tee, Klopp, Norman, Konte, Bettina, Kutalik, Zoltan, Lahti, Jari, Li, Xin, Loos, Ruth J.F., Luciano, Michelle, Magnusson, Sigurdur H., Mangino, Massimo, Marques-Vidal, Pedro, Martin, Nicholas G., McArdle, Wendy L., McCarthy, Mark I., Medina-Gomez, Carolina, Melbye, Mads, Melville, Scott A., Metspalu, Andres, Milani, Lili, Mooser, Vincent, Nelis, Mari, Nyholt, Dale R., O’Connell, Kevin S., Ophoff, Roel A., Palmer, Cameron, Palotie, Aarno, Palviainen, Teemu, Pare, Guillaume, Paternoster, Lavinia, Peltonen, Leena, Penninx, Brenda W.J.H., Polasek, Ozren, Pramstaller, Peter P., Prokopenko, Inga, Raikkonen, Katri, Ripatti, Samuli, Rivadeneira, Fernando, Rudan, Igor, Rujescu, Dan, Smit, Johannes H., Smith, George Davey, Smoller, Jordan W., Soranzo, Nicole, Spector, Tim D., Pourcain, Beate St, Starr, John M., Stefánsson, Hreinn, Steinberg, Stacy, Teder-Laving, Maris, Thorleifsson, Gudmar, Stefánsson, Kári, Timpson, Nicholas J., Uitterlinden, André G., van Duijn, Cornelia M., van Rooij, Frank J.A., Vink, Jaqueline M., Vollenweider, Peter, Vuoksimaa, Eero, Waeber, Gérard, Wareham, Nicholas J., Warrington, Nicole, Waterworth, Dawn, Werge, Thomas, Wichmann, H. Erich, Widen, Elisabeth, Willemsen, Gonneke, Wright, Alan F., Wright, Margaret J., Xu, Mousheng, Zhao, Jing Hua, Kraft, Peter, Hinds, David A., Lindgren, Cecilia M., Mägi, Reedik, Neale, Benjamin M., Evans, David M., Medland, Sarah E., Cuellar-Partida, Gabriel, Tung, Joyce Y., Eriksson, Nicholas, Albrecht, Eva, Aliev, Fazil, Andreassen, Ole A., Barroso, Inês, Beckmann, Jacques S., Boks, Marco P., Boomsma, Dorret I., Boyd, Heather A., Breteler, Monique M.B., Campbell, Harry, Chasman, Daniel I., Cherkas, Lynn F., Davies, Gail, de Geus, Eco J.C., Deary, Ian J., Deloukas, Panos, Dick, Danielle M., Duffy, David L., Eriksson, Johan G., Esko, Tõnu, Feenstra, Bjarke, Geller, Frank, Gieger, Christian, Giegling, Ina, Gordon, Scott D., Han, Jiali, Hansen, Thomas F., Hartmann, Annette M., Hayward, Caroline, Heikkilä, Kauko, Hicks, Andrew A., Hirschhorn, Joel N., Hottenga, Jouke Jan, Huffman, Jennifer E., Hwang, Liang Dar, Ikram, M. Arfan, Kaprio, Jaakko, Kemp, John P., Khaw, Kay Tee, Klopp, Norman, Konte, Bettina, Kutalik, Zoltan, Lahti, Jari, Li, Xin, Loos, Ruth J.F., Luciano, Michelle, Magnusson, Sigurdur H., Mangino, Massimo, Marques-Vidal, Pedro, Martin, Nicholas G., McArdle, Wendy L., McCarthy, Mark I., Medina-Gomez, Carolina, Melbye, Mads, Melville, Scott A., Metspalu, Andres, Milani, Lili, Mooser, Vincent, Nelis, Mari, Nyholt, Dale R., O’Connell, Kevin S., Ophoff, Roel A., Palmer, Cameron, Palotie, Aarno, Palviainen, Teemu, Pare, Guillaume, Paternoster, Lavinia, Peltonen, Leena, Penninx, Brenda W.J.H., Polasek, Ozren, Pramstaller, Peter P., Prokopenko, Inga, Raikkonen, Katri, Ripatti, Samuli, Rivadeneira, Fernando, Rudan, Igor, Rujescu, Dan, Smit, Johannes H., Smith, George Davey, Smoller, Jordan W., Soranzo, Nicole, Spector, Tim D., Pourcain, Beate St, Starr, John M., Stefánsson, Hreinn, Steinberg, Stacy, Teder-Laving, Maris, Thorleifsson, Gudmar, Stefánsson, Kári, Timpson, Nicholas J., Uitterlinden, André G., van Duijn, Cornelia M., van Rooij, Frank J.A., Vink, Jaqueline M., Vollenweider, Peter, Vuoksimaa, Eero, Waeber, Gérard, Wareham, Nicholas J., Warrington, Nicole, Waterworth, Dawn, Werge, Thomas, Wichmann, H. Erich, Widen, Elisabeth, Willemsen, Gonneke, Wright, Alan F., Wright, Margaret J., Xu, Mousheng, Zhao, Jing Hua, Kraft, Peter, Hinds, David A., Lindgren, Cecilia M., Mägi, Reedik, Neale, Benjamin M., Evans, David M., and Medland, Sarah E.
- Abstract
Handedness has been extensively studied because of its relationship with language and the over-representation of left-handers in some neurodevelopmental disorders. Using data from the UK Biobank, 23andMe and the International Handedness Consortium, we conducted a genome-wide association meta-analysis of handedness (N = 1,766,671). We found 41 loci associated (P < 5 × 10−8) with left-handedness and 7 associated with ambidexterity. Tissue-enrichment analysis implicated the CNS in the aetiology of handedness. Pathways including regulation of microtubules and brain morphology were also highlighted. We found suggestive positive genetic correlations between left-handedness and neuropsychiatric traits, including schizophrenia and bipolar disorder. Furthermore, the genetic correlation between left-handedness and ambidexterity is low (rG = 0.26), which implies that these traits are largely influenced by different genetic mechanisms. Our findings suggest that handedness is highly polygenic and that the genetic variants that predispose to left-handedness may underlie part of the association with some psychiatric disorders.
- Published
- 2021
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- View/download PDF
29. Design, implementation and initial findings of COVID-19 research in the Rotterdam Study:leveraging existing infrastructure for population-based investigations on an emerging disease
- Author
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Licher, Silvan, Terzikhan, Natalie, Splinter, Marije J., Velek, Premysl, van Rooij, Frank J.A., Heemst, Jolande Verkroost van, Haarman, Annechien E.G., Thee, Eric F., Geurts, Sven, Mens, Michelle M.J., van der Schaft, Niels, de Feijter, Maud, Pardo, Luba M., Kieboom, Brenda C.T., Ikram, M. Arfan, Licher, Silvan, Terzikhan, Natalie, Splinter, Marije J., Velek, Premysl, van Rooij, Frank J.A., Heemst, Jolande Verkroost van, Haarman, Annechien E.G., Thee, Eric F., Geurts, Sven, Mens, Michelle M.J., van der Schaft, Niels, de Feijter, Maud, Pardo, Luba M., Kieboom, Brenda C.T., and Ikram, M. Arfan
- Abstract
The Rotterdam Study is an ongoing prospective, population-based cohort study that started in 1989 in the city of Rotterdam, the Netherlands. The study aims to unravel etiology, preclinical course, natural history and potential targets for intervention for chronic diseases in mid-life and late-life. It focuses on cardiovascular, endocrine, hepatic, neurological, ophthalmic, psychiatric, dermatological, otolaryngological, locomotor, and respiratory diseases. In response to the COVID-19 pandemic, a substudy was designed and embedded within the Rotterdam Study. On the 20th of April, 2020, all living non-institutionalized participants of the Rotterdam Study (n = 8732) were invited to participate in this sub-study by filling out a series of questionnaires administered over a period of 8 months. These questionnaires included questions on COVID-19 related symptoms and risk factors, characterization of lifestyle and mental health changes, and determination of health care seeking and health care avoiding behavior during the pandemic. As of May 2021, the questionnaire had been sent out repeatedly for a total of six times with an overall response rate of 76%. This article provides an overview of the rationale, design, and implementation of this sub-study nested within the Rotterdam Study. Finally, initial results on participant characteristics and prevalence of COVID-19 in this community-dwelling population are shown.
- Published
- 2021
30. Genome-wide association analysis of red blood cell traits in African Americans: the COGENT Network
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Chen, Zhao, Tang, Hua, Qayyum, Rehan, Schick, Ursula M., Nalls, Michael A., Handsaker, Robert, Li, Jin, Lu, Yingchang, Yanek, Lisa R., Keating, Brendan, Meng, Yan, van Rooij, Frank J.A., Okada, Yukinori, Kubo, Michiaki, Rasmussen-Torvik, Laura, Keller, Margaux F., Lange, Leslie, Evans, Michele, Bottinger, Erwin P., Linderman, Michael D., Ruderfer, Douglas M., Hakonarson, Hakon, Papanicolaou, George, Zonderman, Alan B., Gottesman, Omri, Thomson, Cynthia, Ziv, Elad, Singleton, Andrew B., Loos, Ruth J.F., Sleiman, Patrick M.A., Ganesh, Santhi, McCarroll, Steven, Becker, Diane M., Wilson, James G., Lettre, Guillaume, and Reiner, Alexander P.
- Published
- 2013
- Full Text
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31. Genetic variation associated with circulating monocyte count in the eMERGE Network
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Crosslin, David R., McDavid, Andrew, Weston, Noah, Zheng, Xiuwen, Hart, Eugene, de Andrade, Mariza, Kullo, Iftikhar J., McCarty, Catherine A., Doheny, Kimberly F., Pugh, Elizabeth, Kho, Abel, Hayes, M. Geoffrey, Ritchie, Marylyn D., Saip, Alexander, Crawford, Dana C., Crane, Paul K., Newton, Katherine, Carrell, David S., Gallego, Carlos J., Nalls, Michael A., Li, Rongling, Mirel, Daniel B., Crenshaw, Andrew, Couper, David J., Tanaka, Toshiko, van Rooij, Frank J.A., Chen, Ming-Huei, Smith, Albert V., Zakai, Neil A., Yango, Qiong, Garcia, Melissa, Liu, Yongmei, Lumley, Thomas, Folsom, Aaron R., Reiner, Alex P., Felix, Janine F., Dehghan, Abbas, Wilson, James G., Bis, Joshua C., Fox, Caroline S., Glazer, Nicole L., Cupples, L. Adrienne, Coresh, Josef, Eiriksdottir, Gudny, Gudnason, Vilmundur, Bandinelli, Stefania, Frayling, Timothy M., Chakravarti, Aravinda, van Duijn, Cornelia M., Melzer, David, Levy, Daniel, Boerwinkle, Eric, Singleton, Andrew B., Hernandez, Dena G., Longo, Dan L., Witteman, Jacqueline C.M., Psaty, Bruce M., Ferrucci, Luigi, Harris, Tamara B., OʼDonnell, Christopher J., Ganesh, Santhi K., Larson, Eric B., Carlson, Chris S., and Jarvik, Gail P.
- Published
- 2013
- Full Text
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32. Meat Consumption and Its Association With C-Reactive Protein and Incident Type 2 Diabetes: The Rotterdam Study
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van Woudenbergh, Geertruida J., Kuijsten, Anneleen, Tigcheler, Basia, Sijbrands, Eric J.G., van Rooij, Frank J.A., Hofman, Albert, Witteman, Jacqueline C.M., and Feskens, Edith J.M.
- Published
- 2012
- Full Text
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33. Total Zinc Intake May Modify the Glucose-Raising Effect of a Zinc Transporter (SLC30A8) Variant: A 14-Cohort Meta-analysis
- Author
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Kanoni, Stavroula, Nettleton, Jennifer A., Hivert, Marie-France, Ye, Zheng, van Rooij, Frank J.A., Shungin, Dmitry, Sonestedt, Emily, Ngwa, Julius S., Wojczynski, Mary K., Lemaitre, Rozenn N., Gustafsson, Stefan, Anderson, Jennifer S., Tanaka, Toshiko, Hindy, George, Saylor, Georgia, Renstrom, Frida, Bennett, Amanda J., van Duijn, Cornelia M., Florez, Jose C., Fox, Caroline S., Hofman, Albert, Hoogeveen, Ron C., Houston, Denise K., Hu, Frank B., Jacques, Paul F., Johansson, Ingegerd, Lind, Lars, Liu, Yongmei, McKeown, Nicola, Ordovas, Jose, Pankow, James S., Sijbrands, Eric J.G., Syvänen, Ann-Christine, Uitterlinden, André G., Yannakoulia, Mary, Zillikens, M. Carola, Wareham, Nick J., Prokopenko, Inga, Bandinelli, Stefania, Forouhi, Nita G., Cupples, L. Adrienne, Loos, Ruth J., Hallmans, Goran, Dupuis, Josée, Langenberg, Claudia, Ferrucci, Luigi, Kritchevsky, Stephen B., McCarthy, Mark I., Ingelsson, Erik, Borecki, Ingrid B., Witteman, Jacqueline C.M., Orho-Melander, Marju, Siscovick, David S., Meigs, James B., Franks, Paul W., and Dedoussis, George V.
- Published
- 2011
- Full Text
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34. Interactions of Dietary Whole-Grain Intake With Fasting Glucose– and Insulin-Related Genetic Loci in Individuals of European Descent: A meta-analysis of 14 cohort studies
- Author
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Nettleton, Jennifer A., McKeown, Nicola M., Kanoni, Stavroula, Lemaitre, Rozenn N., Hivert, Marie-France, Ngwa, Julius, van Rooij, Frank J.A., Sonestedt, Emily, Wojczynski, Mary K., Ye, Zheng, and Tanaka, Tosh
- Published
- 2010
- Full Text
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35. Eating Fish and Risk of Type 2 Diabetes: A population-based, prospective follow-up study
- Author
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van Woudenbergh, Geertruida J., van Ballegooijen, Adriana J., Kuijsten, Anneleen, Sijbrands, Eric J.G., van Rooij, Frank J.A., Geleijnse, Johanna M., Hofman, Albert, Witteman, Jacqueline C.M., and Feskens, Edith J.M.
- Published
- 2009
36. Intake of very long chain n-3 fatty acids from fish and the incidence of heart failure: the Rotterdam Study
- Author
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Dijkstra, S Coosje, Brouwer, Ingeborg A., van Rooij, Frank J.A., Hofman, Albert, Witteman, Jacqueline C.M., and Geleijnse, Johanna M.
- Published
- 2009
37. Intake of fish and marine n-3 fatty acids in relation to coronary calcification: the Rotterdam Study
- Author
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Heine-Broring, Renate C., Brouwer, Ingeborg A., Proenca, Rozemarijn Vliegenthart, van Rooij, Frank J.A., Hofman, Albert, Oudkerk, Matthijs, Witteman, Jacqueline C.M., and Geleijnse, Johanna M.
- Subjects
Calcification -- Causes of ,Calcification -- Research ,Coronary heart disease -- Risk factors ,Coronary heart disease -- Research ,Fish as food -- Health aspects ,Fish as food -- Research ,Omega-3 fatty acids -- Health aspects ,Omega-3 fatty acids -- Research ,Food/cooking/nutrition ,Health - Abstract
Background: Epidemiologic and experimental data suggest a cardioprotective effect of n-3 (omega-3) fatty acids from fish [eicosapentaenoic acid (EPA) plus docosahexaenoic acid (DHA)]. Objective: The objective was to examine the association of fish and EPA plus DHA intakes with coronary calcification in a general older population. Design: Diet was assessed between 1990 and 1993 by using a semiquantitative 170-item food-frequency questionnaire. Coronary calcification was assessed [approximately equal to]7 y later by electron-beam computed tomography in 1570 asymptomatic cardiac subjects with complete dietary data (44% men, mean age of 64 y). Calcium scores according to Agatston's method were divided into [less than or equal to]10 (no/minimal coronary calcification), 11-400 (mild/moderate calcification), and >400 (severe calcification). Prevalence ratios (PRs) for mild/moderate and severe calcification were obtained in categories of fish and EPA plus DHA intake. PRs were adjusted for age, sex, body mass index, diabetes mellitus, socioeconomic status, smoking, alcohol intake, physical activity, and dietary factors. Results: Subjects with a fish intake > 19 g/d had a significantly lower prevalence of mild/moderate calcification (PR: 0.87; 95% CI: 0.78, 0.98; full model) than did subjects who consumed no fish. Subjects with a high fish intake also had a lower prevalence of severe calcification (PR: 0.88; 95% CI: 0.74, 1.04), which was borderline statistically significant. EPA plus DHA intake showed no significant associations (PR: 0.93 and 0.97, respectively; P > 0.05). Conclusions: We found a weak inverse association between fish intake and coronary calcification. If confirmed in other population-based studies, more research is warranted to determine which components in fish can inhibit vascular calcification. doi: 10.3945/ajcn.2009.28416.
- Published
- 2010
38. Disagreement between subjective and actigraphic measures of sleep duration in a population-based study of elderly persons
- Author
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VAN DEN BERG, JULIA F., VAN ROOIJ, FRANK J.A., VOS, HENK, TULEN, JOKE H.M., HOFMAN, ALBERT, MIEDEMA, HENK M.E., NEVEN, ARIE KNUISTINGH, and TIEMEIER, HENNING
- Published
- 2008
39. Dietary intake of fish and omega-3 fatty acids in relation to long-term dementia risk
- Author
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Devore, Elizabeth E., Grodstein, Francine, van Rooij, Frank J.A., Hofman, Albert, Rosner, Bernard, Stampfer, Meir J., Witteman, Jacqueline C.M., and Breteler, Monique M.B.
- Subjects
Omega-3 fatty acids -- Health aspects ,Omega-3 fatty acids -- Research ,Fish as food -- Research ,Fish as food -- Nutritional aspects ,Dementia -- Risk factors ,Dementia -- Prevention ,Dementia -- Research ,Food/cooking/nutrition ,Health - Abstract
Background: Greater fish and omega-3 (n--3) polyunsaturated fatty acid (PUFA) intake may reduce dementia risk; however, previous studies have reported conflicting results, which were largely based on short-term follow-up. Objective: The objective was to study the dietary consumption of fish and omega-3 PUFAs in relation to long-term dementia risk. Design: We studied 5395 participants aged [greater than or equal to] 55 y in the Rotterdam Study who were free of dementia and reported dietary information at baseline. We used age- and sex-adjusted Cox proportional hazard and multivariate-adjusted models to evaluate the relative risk of dementia and Alzheimer disease (AD) across categories of typical fish intake (none, low, and high) and fish type consumed (none, lean, and fatty). We also evaluated dementia and AD risk across tertiles of omega-3 PUFA intake, specifically, total long-chain omega-3 fatty acids: eicosapentaenoic acid (EPA) + docosahexaenoic acid (DHA), [alpha]-linolenic acid, and EPA and DHA individually. Results: During an average follow-up of 9.6 y, dementia developed in 465 participants (365 with a diagnosis of AD). In multivariate-adjusted models, total fish intake was unrelated to dementia risk (P for trend = 0.7). Compared with participants who typically ate no fish, those with a high fish intake had a similar dementia risk (hazard ratio: 0.95; 95% CI: 0.76, 1.19), as did those who typically ate fatty fish (hazard ratio: 0.98; 95% CI: 0.77, 1.24). Dietary intakes of omega-3 PUFAs were also not associated with dementia risk, and the results were similar when we considered AD specifically. Conclusion: In this Dutch cohort, who had a moderate consumption of fish and omega-3 PUFAs, these dietary factors do not appear to be associated with long-term dementia risk.
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- 2009
40. Inverse association between dairy intake and hypertension: the Rotterdam Study
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Engberink, Marielle F., Hendriksen, Marieke A.H., Schouten, Evert G., van Rooij, Frank J.A., Hofman, Albert, Witteman, Jacqueline C.M., and Geleijnse, Johanna M.
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Aged -- Demographic aspects ,Aged -- Food and nutrition ,Aged -- Health aspects ,Dairy products -- Health aspects ,Dairy products -- Usage ,Hypertension -- Diet therapy ,Hypertension -- Prevention ,Hypertension -- Research ,Hypertension -- Risk factors ,Food/cooking/nutrition ,Health - Abstract
Background: Little is known about the effect of different types of dairy food products on the development of hypertension. Objective: The objective was to determine whether the incidence of hypertension in older Dutch subjects is associated with intake of dairy products. Design: We examined the relation between dairy intake and incident hypertension in 2245 participants of the Rotterdam Study aged [greater than or equal to] 55 y with complete dietary and blood pressure data, who were free of hypertension at baseline (1990-1993). Blood pressure was reexamined in 1993-1995 and in 1997-1999. Hazard ratios (HRs) with 95% CIs for 2- and 6-y incidence of hypertension were obtained in quartiles of energy-adjusted dairy intake, with adjustment for age, sex, BMI, smoking, educational level, dietary factors, and intake of alcohol and total energy. Results: Risk of hypertension after 2 y of follow-up (664 incident cases) was inversely associated with dairy product intake. After adjustment for confounders, HRs (95% CIs) were 1.00, 0.82 (0.67, 1.02), 0.67 (0.54, 0.84), and 0.76 (0.61, 0.95) in consecutive quartiles of total dairy product intake (P for trend = 0.008). Corresponding HRs for low-fat dairy products were 1.00, 0.75 (0.60, 0.92), 0.77 (0.63, 0.96), and 0.69 (0.56, 0.86) (P for trend = 0.003). Analysis of specific types of dairy products showed an inverse association with milk and milk products (P for trend = 0.07) and no association with high-fat dairy or cheese (P > 0.6). After 6 y of follow-up (984 incident cases), the associations with hypertension were attenuated to risk reductions of [approximately equal to] 20% for both total and low-fat dairy products between the extreme quartiles of intake (P for trend = 0.07 and 0.09, respectively). Conclusion: Intake of low-fat dairy products may contribute to the prevention of hypertension at an older age.
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- 2009
41. Subclinical atherosclerosis and risk of atrial fibrillation: the Rotterdam Study
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Heeringa, Jan, van der Kuip, Deirdre A.M., Hofman, Albert, Kors, Jan A., van Rooij, Frank J.A., Lip, Greg Y.H., and Witterman, Jacqueline C.M.
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Atherosclerosis -- Development and progression ,Atherosclerosis -- Research ,Atrial fibrillation -- Risk factors ,Atrial fibrillation -- Prevention ,Atrial fibrillation -- Research ,Health - Published
- 2007
42. Ascertainment of cancer in longitudinal research:The concordance between the Rotterdam Study and the Netherlands Cancer Registry
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van der Willik, Kimberly D., Ruiter, Rikje, van Rooij, Frank J.A., Verkroost-van Heemst, Jolande, Hogewoning, Sander J., Timmermans, Karin C.A.A., Visser, Otto, Schagen, Sanne B., Ikram, M. Arfan, Stricker, Bruno H.Ch, van der Willik, Kimberly D., Ruiter, Rikje, van Rooij, Frank J.A., Verkroost-van Heemst, Jolande, Hogewoning, Sander J., Timmermans, Karin C.A.A., Visser, Otto, Schagen, Sanne B., Ikram, M. Arfan, and Stricker, Bruno H.Ch
- Abstract
Complete and accurate registration of cancer is needed to provide reliable data on cancer incidence and to investigate aetiology. Such data can be derived from national cancer registries, but also from large population-based cohort studies. Yet, the concordance and discordance between these two data sources remain unknown. We evaluated completeness and accuracy of cancer registration by studying the concordance between the population-based Rotterdam Study (RS) and the Netherlands Cancer Registry (NCR) between 1989 and 2012 using the independent case ascertainment method. We compared all incident cancers in participants of the RS (aged ≥45 years) to registered cancers in the NCR in the same persons based on the date of diagnosis and the International Classification of Diseases (ICD) code. In total, 2,977 unique incident cancers among 2,685 persons were registered. Two hundred eighty-eight cancers (9.7%) were coded by the RS that were not present in the NCR. These were mostly nonpathology-confirmed lung and haematological cancers. Furthermore, 116 cancers were coded by the NCR, but not by the RS (3.9%), of which 20.7% were breast cancers. Regarding pathology-confirmed cancer diagnoses, completeness was >95% in both registries. Eighty per cent of the cancers registered in both registries were coded with the same date of diagnosis and ICD code. Of the remaining cancers, 344 (14.5%) were misclassified with regard to date of diagnosis and 72 (3.0%) with regard to ICD code. Our findings indicate that multiple sources on cancer are complementary and should be combined to ensure reliable data on cancer incidence.
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- 2020
43. Trans-ethnic and ancestry-specific blood-cell genetics in 746,667 individuals from 5 global populations
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Chen, Ming-Huei, primary, Raffield, Laura M., additional, Mousas, Abdou, additional, Sakaue, Saori, additional, Huffman, Jennifer E., additional, Jiang, Tao, additional, Akbari, Parsa, additional, Vuckovic, Dragana, additional, Bao, Erik L., additional, Moscati, Arden, additional, Zhong, Xue, additional, Manansala, Regina, additional, Laplante, Véronique, additional, Chen, Minhui, additional, Lo, Ken Sin, additional, Qian, Huijun, additional, Lareau, Caleb A., additional, Beaudoin, Mélissa, additional, Akiyama, Masato, additional, Bartz, Traci M., additional, Ben-Shlomo, Yoav, additional, Beswick, Andrew, additional, Bork-Jensen, Jette, additional, Bottinger, Erwin P., additional, Brody, Jennifer A., additional, van Rooij, Frank J.A., additional, Chitrala, Kumaraswamynaidu, additional, Cho, Kelly, additional, Choquet, Hélène, additional, Correa, Adolfo, additional, Danesh, John, additional, Di Angelantonio, Emanuele, additional, Dimou, Niki, additional, Ding, Jingzhong, additional, Elliott, Paul, additional, Esko, Tõnu, additional, Evans, Michele K., additional, Floyd, James S., additional, Broer, Linda, additional, Grarup, Niels, additional, Guo, Michael H., additional, Greinacher, Andreas, additional, Haessler, Jeff, additional, Hansen, Torben, additional, Howson, Joanna M. M., additional, Huang, Wei, additional, Jorgenson, Eric, additional, Kacprowski, Tim, additional, Kähönen, Mika, additional, Kamatani, Yoichiro, additional, Kanai, Masahiro, additional, Karthikeyan, Savita, additional, Koskeridis, Fotis, additional, Lange, Leslie A., additional, Lehtimäki, Terho, additional, Lerch, Markus M., additional, Linneberg, Allan, additional, Liu, Yongmei, additional, Lyytikäinen, Leo-Pekka, additional, Manichaikul, Ani, additional, Matsuda, Koichi, additional, Mohlke, Karen L., additional, Mononen, Nina, additional, Murakami, Yoshinori, additional, Nadkarni, Girish N., additional, Nauck, Matthias, additional, Nikus, Kjell, additional, Ouwehand, Willem H., additional, Pankratz, Nathan, additional, Pedersen, Oluf, additional, Preuss, Michael, additional, Psaty, Bruce M., additional, Raitakari, Olli T., additional, Roberts, David J., additional, Rich, Stephen S., additional, Rodriguez, Benjamin A.T., additional, Rosen, Jonathan D., additional, Rotter, Jerome I., additional, Schubert, Petra, additional, Spracklen, Cassandra N., additional, Surendran, Praveen, additional, Tang, Hua, additional, Tardif, Jean-Claude, additional, Ghanbari, Mohsen, additional, Völker, Uwe, additional, Völzke, Henry, additional, Watkins, Nicholas A., additional, Zonderman, Alan B., additional, Million Veteran Program, VA, additional, Wilson, Peter W.F., additional, Li, Yun, additional, Butterworth, Adam S., additional, Gauchat, Jean-François, additional, Chiang, Charleston W.K., additional, Li, Bingshan, additional, Loos, Ruth J.F., additional, Astle, William J., additional, Evangelou, Evangelos, additional, Sankaran, Vijay G., additional, Okada, Yukinori, additional, Soranzo, Nicole, additional, Johnson, Andrew D., additional, Reiner, Alexander P., additional, Auer, Paul L., additional, and Lettre, Guillaume, additional
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- 2020
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44. Osteoporotic Vertebral Fracture Prevalence Varies Widely Between Qualitative and Quantitative Radiological Assessment Methods:The Rotterdam Study
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Oei, Ling, Koromani, Fjorda, Breda, Stephan J., Schousboe, John T., Clark, Emma M., van Meurs, Joyce B.J., Ikram, M. Arfan, Waarsing, Jan H., van Rooij, Frank J.A., Zillikens, Maria C., Krestin, Gabriel P., Oei, Edwin H.G., and Rivadeneira, Fernando
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fracture ,diagnosis ,Epidemiology ,Screening ,Osteoporosis ,Radiology ,vertebral - Abstract
Accurate diagnosis of vertebral osteoporotic fractures is crucial for the identification of individuals at high risk of future fractures. Different methods for radiological assessment of vertebral fractures exist, but a gold standard is lacking. The aim of our study was to estimate statistical measures of agreement and prevalence of osteoporotic vertebral fractures in the population-based Rotterdam Study, across two assessment methods. The quantitative morphometry assisted by SpineAnalyzer® (QM SA) method evaluates vertebral height loss that affects vertebral shape whereas the algorithm-based qualitative (ABQ) method judges endplate integrity and includes guidelines for the differentiation of vertebral fracture and nonfracture deformities. Cross-sectional radiographs were assessed for 7582 participants aged 45 to 95 years. With QM SA, the prevalence was 14.2% (95% CI, 13.4% to 15.0%), compared to 4.0% (95% CI, 3.6% to 4.5%) with ABQ. Inter-method agreement according to kappa (κ) was 0.24. The highest agreement between methods was among females (κ = 0.31), participants age >80 years (κ = 0.40), and at the L1 level (κ = 0.40). With ABQ, most fractures were found at the thoracolumbar junction (T12–L1) followed by the T7–T8 level, whereas with QM SA, most deformities were in the mid thoracic (T7–T8) and lower thoracic spine (T11–T12), with similar number of fractures in both peaks. Excluding mild QM SA deformities (grade 1 with QM) from the analysis increased, the agreement between the methods from κ = 0.24 to 0.40, whereas reexamining mild deformities based on endplate depression increased agreement from κ = 0.24 to 0.50 (p
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- 2018
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45. Ascertainment of cancer in longitudinal research: The concordance between the Rotterdam Study and the Netherlands Cancer Registry
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van der Willik, Kimberly D., primary, Ruiter, Rikje, additional, van Rooij, Frank J.A., additional, Verkroost‐van Heemst, Jolande, additional, Hogewoning, Sander J., additional, Timmermans, Karin C.A.A., additional, Visser, Otto, additional, Schagen, Sanne B., additional, Ikram, M. Arfan, additional, and Stricker, Bruno H.Ch., additional
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- 2019
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46. Equalization of four cardiovascular risk algorithms after systematic recalibration: Individual-participant meta-analysis of 86 prospective studies
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Pennells, Lisa, Kaptoge, Stephen, Wood, Angela, Sweeting, Mike, Zhao, Xiaohui, White, Ian, Burgess, Stephen, Willeit, Peter, Bolton, Thomas, Moons, Karel G.M., Van Der Schouw, Yvonne T., Selmer, Randi, Khaw, Kay Tee, Gudnason, Vilmundur, Assmann, Gerd, Amouyel, Philippe, Salomaa, Veikko, Kivimaki, Mika, Nordestgaard, Børge G., Blaha, Michael J., Kuller, Lewis H., Brenner, Hermann, Gillum, Richard F., Meisinger, Christa, Ford, Ian, Knuiman, Matthew W., Rosengren, Annika, Lawlor, Debbie A., Völzke, Henry, Cooper, Cyrus, Marín Ibañez, Alejandro, Casiglia, Edoardo, Kauhanen, Jussi, Cooper, Jackie A., Rodriguez, Beatriz, Sundström, Johan, Barrett-Connor, Elizabeth, Dankner, Rachel, Nietert, Paul J., Davidson, Karina W., Wallace, Robert B., Blazer, Dan G., Björkelund, Cecilia, Donfrancesco, Chiara, Krumholz, Harlan M., Nissinen, Aulikki, Davis, Barry R., Coady, Sean, Whincup, Peter H., Jørgensen, Torben, Ducimetiere, Pierre, Trevisan, Maurizio, Engström, Gunnar, Crespo, Carlos J., Meade, Tom W., Visser, Marjolein, Kromhout, Daan, Kiechl, Stefan, Daimon, Makoto, Price, Jackie F., Gómez De La Cámara, Agustin, Jukema, J.W., Lamarche, Benoît, Onat, Altan, Simons, Leon A., Kavousi, Maryam, Ben-Shlomo, Yoav, Gallacher, John, Dekker, Jacqueline M., Arima, Hisatomi, Shara, Nawar, Tipping, Robert W., Roussel, Ronan, Brunner, Eric J., Koenig, Wolfgang, Sakurai, Masaru, Pavlovic, Jelena, Gansevoort, Ron T., Nagel, Dorothea, Goldbourt, Uri, Barr, Elizabeth L.M., Palmieri, Luigi, Njølstad, Inger, Sato, Shinichi, Monique Verschuren, W.M., Varghese, Cherian V., Graham, Ian, Onuma, Oyere, Greenland, Philip, Woodward, Mark, Ezzati, Majid, Psaty, Bruce M., Sattar, Naveed, Jackson, Rod, Ridker, Paul M., Cook, Nancy R., D'Agostino, Ralph B., Thompson, Simon G., Danesh, John, Di Angelantonio, Emanuele, Simpson, Lara M., Pressel, Sara L., Couper, David J., Nambi, Vijay, Matsushita, Kunihiro, Folsom, Aaron R., Shaw, Jonathan E., Magliano, Dianna J., Zimmet, Paul Z., Wannamethee, S.G., Willeit, Johann, Santer, Peter, Egger, Georg, Casas, Juan Pablo, Amuzu, Antointtte, Tikhonoff, Valérie, Sutherland, Susan E., Cushman, Mary, Søgaard, Anne Johanne, Håheim, Lise Lund, Ariansen, Inger, Tybjærg-Hansen, Anne, Jensen, Gorm B., Schnohr, Peter, Giampaoli, Simona, Vanuzzo, Diego, Panico, Salvatore, Balkau, Beverley, Bonnet, Fabrice, Marre, Michel, De La Cámara, Agustin Gómez, Rubio Herrera, Miguel Angel, Friedlander, Yechiel, McCallum, John, McLachlan, Stela, Guralnik, Jack, Phillips, Caroline L., Wareham, Nick, Schöttker, Ben, Saum, Kai Uwe, Holleczek, Bernd, Tolonen, Hanna, Vartiainen, Erkki, Jousilahti, Pekka, Harald, Kennet, Massaro, Joseph M., Pencina, Michael, Vasan, Ramachandran, Kayama, Takamasa, Kato, Takeo, Oizumi, Toshihide, Jespersen, Jørgen, Møller, Lars, Bladbjerg, Else Marie, Chetrit, A., Wilhelmsen, Lars, Lissner, Lauren, Dennison, Elaine, Kiyohara, Yutaka, Ninomiya, Toshiharu, Doi, Yasufumi, Nijpels, Giel, Stehouwer, Coen D.A., Kazumasa, Yamagishi, Iso, Hiroyasu, Kurl, Sudhir, Tuomainen, Tomi Pekka, Salonen, Jukka T., Deeg, Dorly J.H., Nilsson, Peter M., Bo, Hedblad, Melander, Olle, De Boer, Ian H., DeFilippis, Andrew Paul, Watt, Graham, Tverdal, Aage, Kirkland, Susan, Shimbo, Daichi, Shaffer, Jonathan, Bakker, Stephan J.L., Van Der Harst, Pim, Hillege, Hans L., Dallongeville, Jean, Schulte, Helmut, Trompet, Stella, Smit, Roelof A.J., Stott, David J., Després, Jean Pierre, Cantin, Bernard, Dagenais, Gilles R., Laughlin, Gail, Wingard, Deborah, Aspelund, Thor, Eiriksdottir, Gudny, Gudmundsson, Elias Freyr, Ikram, Arfan, Van Rooij, Frank J.A., Franco, Oscar H., Rueda-Ochoa, Oscar L., Muka, Taulant, Glisic, Marija, Tunstall-Pedoe, Hugh, Howard, Barbara V., Ying, Zhang, Jolly, Stacey, Davey-Smith, George, Can, Günay, Yüksel, Hüsniye, Nakagawa, Hideaki, Morikawa, Yuko, Miura, Katsuyuki, Ingelsson, Martin, Giedraitis, Vilmantas, Gaziano, J.M., Shipley, Martin, Arndt, Volker, Ibañez, Alejandro Marín, Geleijnse, Johanna M., Pennells, Lisa, Kaptoge, Stephen, Wood, Angela, Sweeting, Mike, Zhao, Xiaohui, White, Ian, Burgess, Stephen, Willeit, Peter, Bolton, Thomas, Moons, Karel G.M., Van Der Schouw, Yvonne T., Selmer, Randi, Khaw, Kay Tee, Gudnason, Vilmundur, Assmann, Gerd, Amouyel, Philippe, Salomaa, Veikko, Kivimaki, Mika, Nordestgaard, Børge G., Blaha, Michael J., Kuller, Lewis H., Brenner, Hermann, Gillum, Richard F., Meisinger, Christa, Ford, Ian, Knuiman, Matthew W., Rosengren, Annika, Lawlor, Debbie A., Völzke, Henry, Cooper, Cyrus, Marín Ibañez, Alejandro, Casiglia, Edoardo, Kauhanen, Jussi, Cooper, Jackie A., Rodriguez, Beatriz, Sundström, Johan, Barrett-Connor, Elizabeth, Dankner, Rachel, Nietert, Paul J., Davidson, Karina W., Wallace, Robert B., Blazer, Dan G., Björkelund, Cecilia, Donfrancesco, Chiara, Krumholz, Harlan M., Nissinen, Aulikki, Davis, Barry R., Coady, Sean, Whincup, Peter H., Jørgensen, Torben, Ducimetiere, Pierre, Trevisan, Maurizio, Engström, Gunnar, Crespo, Carlos J., Meade, Tom W., Visser, Marjolein, Kromhout, Daan, Kiechl, Stefan, Daimon, Makoto, Price, Jackie F., Gómez De La Cámara, Agustin, Jukema, J.W., Lamarche, Benoît, Onat, Altan, Simons, Leon A., Kavousi, Maryam, Ben-Shlomo, Yoav, Gallacher, John, Dekker, Jacqueline M., Arima, Hisatomi, Shara, Nawar, Tipping, Robert W., Roussel, Ronan, Brunner, Eric J., Koenig, Wolfgang, Sakurai, Masaru, Pavlovic, Jelena, Gansevoort, Ron T., Nagel, Dorothea, Goldbourt, Uri, Barr, Elizabeth L.M., Palmieri, Luigi, Njølstad, Inger, Sato, Shinichi, Monique Verschuren, W.M., Varghese, Cherian V., Graham, Ian, Onuma, Oyere, Greenland, Philip, Woodward, Mark, Ezzati, Majid, Psaty, Bruce M., Sattar, Naveed, Jackson, Rod, Ridker, Paul M., Cook, Nancy R., D'Agostino, Ralph B., Thompson, Simon G., Danesh, John, Di Angelantonio, Emanuele, Simpson, Lara M., Pressel, Sara L., Couper, David J., Nambi, Vijay, Matsushita, Kunihiro, Folsom, Aaron R., Shaw, Jonathan E., Magliano, Dianna J., Zimmet, Paul Z., Wannamethee, S.G., Willeit, Johann, Santer, Peter, Egger, Georg, Casas, Juan Pablo, Amuzu, Antointtte, Tikhonoff, Valérie, Sutherland, Susan E., Cushman, Mary, Søgaard, Anne Johanne, Håheim, Lise Lund, Ariansen, Inger, Tybjærg-Hansen, Anne, Jensen, Gorm B., Schnohr, Peter, Giampaoli, Simona, Vanuzzo, Diego, Panico, Salvatore, Balkau, Beverley, Bonnet, Fabrice, Marre, Michel, De La Cámara, Agustin Gómez, Rubio Herrera, Miguel Angel, Friedlander, Yechiel, McCallum, John, McLachlan, Stela, Guralnik, Jack, Phillips, Caroline L., Wareham, Nick, Schöttker, Ben, Saum, Kai Uwe, Holleczek, Bernd, Tolonen, Hanna, Vartiainen, Erkki, Jousilahti, Pekka, Harald, Kennet, Massaro, Joseph M., Pencina, Michael, Vasan, Ramachandran, Kayama, Takamasa, Kato, Takeo, Oizumi, Toshihide, Jespersen, Jørgen, Møller, Lars, Bladbjerg, Else Marie, Chetrit, A., Wilhelmsen, Lars, Lissner, Lauren, Dennison, Elaine, Kiyohara, Yutaka, Ninomiya, Toshiharu, Doi, Yasufumi, Nijpels, Giel, Stehouwer, Coen D.A., Kazumasa, Yamagishi, Iso, Hiroyasu, Kurl, Sudhir, Tuomainen, Tomi Pekka, Salonen, Jukka T., Deeg, Dorly J.H., Nilsson, Peter M., Bo, Hedblad, Melander, Olle, De Boer, Ian H., DeFilippis, Andrew Paul, Watt, Graham, Tverdal, Aage, Kirkland, Susan, Shimbo, Daichi, Shaffer, Jonathan, Bakker, Stephan J.L., Van Der Harst, Pim, Hillege, Hans L., Dallongeville, Jean, Schulte, Helmut, Trompet, Stella, Smit, Roelof A.J., Stott, David J., Després, Jean Pierre, Cantin, Bernard, Dagenais, Gilles R., Laughlin, Gail, Wingard, Deborah, Aspelund, Thor, Eiriksdottir, Gudny, Gudmundsson, Elias Freyr, Ikram, Arfan, Van Rooij, Frank J.A., Franco, Oscar H., Rueda-Ochoa, Oscar L., Muka, Taulant, Glisic, Marija, Tunstall-Pedoe, Hugh, Howard, Barbara V., Ying, Zhang, Jolly, Stacey, Davey-Smith, George, Can, Günay, Yüksel, Hüsniye, Nakagawa, Hideaki, Morikawa, Yuko, Miura, Katsuyuki, Ingelsson, Martin, Giedraitis, Vilmantas, Gaziano, J.M., Shipley, Martin, Arndt, Volker, Ibañez, Alejandro Marín, and Geleijnse, Johanna M.
- Abstract
Aims There is debate about the optimum algorithm for cardiovascular disease (CVD) risk estimation. We conducted head-to-head comparisons of four algorithms recommended by primary prevention guidelines, before and after 'recalibration', a method that adapts risk algorithms to take account of differences in the risk characteristics of the populations being studied. Methods and results Using individual-participant data on 360 737 participants without CVD at baseline in 86 prospective studies from 22 countries, we compared the Framingham risk score (FRS), Systematic COronary Risk Evaluation (SCORE), pooled cohort equations (PCE), and Reynolds risk score (RRS). We calculated measures of risk discrimination and calibration, and modelled clinical implications of initiating statin therapy in people judged to be at 'high' 10 year CVD risk. Original risk algorithms were recalibrated using the risk factor profile and CVD incidence of target populations. The four algorithms had similar risk discrimination. Before recalibration, FRS, SCORE, and PCE over-predicted CVD risk on average by 10%, 52%, and 41%, respectively, whereas RRS under-predicted by 10%. Original versions of algorithms classified 29-39% of individuals aged ≥40 years as high risk. By contrast, recalibration reduced this proportion to 22-24% for every algorithm. We estimated that to prevent one CVD event, it would be necessary to initiate statin therapy in 44-51 such individuals using original algorithms, in contrast to 37-39 individuals with recalibrated algorithms. Conclusion Before recalibration, the clinical performance of four widely used CVD risk algorithms varied substantially. By contrast, simple recalibration nearly equalized their performance and improved modelled targeting of preventive action to clinical need.
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- 2019
47. Whole-Exome Sequencing Identifies Loci Associated with Blood Cell Traits and Reveals a Role for Alternative GFI1B Splice Variants in Human Hematopoiesis
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Polfus, Linda M., Khajuria, Rajiv K., Schick, Ursula M., Pankratz, Nathan, Pazoki, Raha, Brody, Jennifer A., Chen, Ming-Huei, Auer, Paul L., Floyd, James S., Huang, Jie, Lange, Leslie, van Rooij, Frank J.A., Gibbs, Richard A., Metcalf, Ginger, Muzny, Donna, Veeraraghavan, Narayanan, Walter, Klaudia, Chen, Lu, Yanek, Lisa, Becker, Lewis C., Peloso, Gina M., Wakabayashi, Aoi, Kals, Mart, Metspalu, Andres, Esko, Tõnu, Fox, Keolu, Wallace, Robert, Franceschini, Nora, Matijevic, Nena, Rice, Kenneth M., Bartz, Traci M., Lyytikäinen, Leo-Pekka, Kähönen, Mika, Lehtimäki, Terho, Raitakari, Olli T., Li-Gao, Ruifang, Mook-Kanamori, Dennis O., Lettre, Guillaume, van Duijn, Cornelia M., Franco, Oscar H., Rich, Stephen S., Rivadeneira, Fernando, Hofman, Albert, Uitterlinden, André G., Wilson, James G., Psaty, Bruce M., Soranzo, Nicole, Dehghan, Abbas, Boerwinkle, Eric, Zhang, Xiaoling, Johnson, Andrew D., O’Donnell, Christopher J., Johnsen, Jill M., Reiner, Alexander P., Ganesh, Santhi K., and Sankaran, Vijay G.
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- 2016
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48. Standard process-oriented workflow introduces pre-analytical error when used in large study sample batches
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Kieboom, Brenda C.T., primary, Hoorn, Ewout J., additional, Ramakers, Christian, additional, van Rooij, Frank J.A., additional, Ikram, M. Arfan, additional, Hofman, Albert, additional, van Duijn, Cornelia M., additional, Heeringa, Jan, additional, Zietse, Robert, additional, Peeters, Robin P., additional, Stricker, Bruno H., additional, and de Rijke, Yolanda B., additional
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- 2018
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49. Seasonality of physical activity, sedentary behavior, and sleep in a middle-aged and elderly population: The Rotterdam study
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Cepeda, Magda, primary, Koolhaas, Chantal M., additional, van Rooij, Frank J.A., additional, Tiemeier, Henning, additional, Guxens, Mònica, additional, Franco, Oscar H., additional, and Schoufour, Josje D., additional
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- 2018
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50. Natriuretic peptides and integrated risk assessment for cardiovascular disease: an individual-participant-data meta-analysis
- Author
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Ballantyne, Christie M., Levy, Daniel, Hofman, Albert, Devereux, Richard B., Barrett-Connor, Elizabeth, Gansevoort, Ron T., Maisel, Alan S., Nordestgaard, Børge G., Cook, Nancy R., Lima, João A., Nambi, Vijay, Olsen, Michael Hecht, Yarnell, John W.G., Whincup, Peter H., Raymond, Ilan, Casas, Juan-Pablo, Manson, JoAnn E., Jukema, J. Wouter, Ikram, M. Arfan, Luchner, Andreas, Zethelius, Björn, Pradhan, Aruna D., Hoogeveen, Ron C., Safford, Monika M., Franco, Oscar H., Andersson, Jonas, Stark, Klaus, Salonen, Jukka T., Dehghan, Abbas, Kavousi, Maryam, Santer, Peter, Lindahl, Bertil, Rubattu, Speranza, Kistorp, Caroline N., Jørgensen, Torben, Schou, Morten, Peters, Annette, van den Meiracker, Anton H., Lind, Lars, Dieplinger, Benjamin, Haltmayer, Meinhard, Ruskoaho, Heikki, Kizer, Jorge R., Strazzullo, Pasquale, Kiechl, Stefan, Everett, Brendan M., de Craen, Anton J.M., Agarwal, Sunil K., Panagiotakos, Demosthenes B., Ridker, Paul M., Wannamethee, S. Goya, McGuire, Darren K., Willeit, Johann, Kee, Frank, Melander, Olle, Das, Sandeep R., Ford, Ian, Wennberg, Patrik, Zakai, Neil A., Best, Lyle G., Lawlor, Debbie A., Zeller, Tanja, Rosenberg, Jens, Psaty, Bruce M., Gudnason, Vilmundur, Trompet, Stella, Andresdottir, Margret B., Stott, David J., Drazner, Mark H., Cushman, Mary, Gustafsson, Finn, Hildebrandt, Per R., Ninomiya, Toshiharu, Agnarsson, Uggi, Hata, Jun, Bakker, Stephan J.L., Welsh, Paul, de Boer, Rudolf A., Mueller, Thomas, Giedraitis, Vilmantas, Howard, Virginia J., Kauhanen, Jussi, DeFilippi, Christopher, Laukkanen, Jari A., Willeit, Peter, Volpe, Massimo, de Lemos, James A., Kiyohara, Yutaka, Evans, Alun, van Rooij, Frank J.A., Venge, Per, Salomaa, Veikko, Jansson, Jan-Håkan, Heid, Iris M., Aspelund, Thor, Kronmal, Richard A., Eiriksdottir, Gudny, Lannfelt, Lars, Harald, Kennet, Schett, Georg, Tuomainen, Tomi-Pekka, Vartiainen, Erkki, Judd, Suzanne, Packard, Chris J., Daniels, Lori B., Ärnlöv, Johan, Sattar, Naveed, Umans, Jason G., Ligthart, Symen, and Heckbert, Susan R.
- Abstract
BACKGROUND: Guidelines for primary prevention of cardiovascular diseases focus on prediction of coronary heart disease and stroke. We assessed whether or not measurement of N-terminal-pro-B-type natriuretic peptide (NT-proBNP) concentration could enable a more integrated approach than at present by predicting heart failure and enhancing coronary heart disease and stroke risk assessment. METHODS: In this individual-participant-data meta-analysis, we generated and harmonised individual-participant data from relevant prospective studies via both de-novo NT-proBNP concentration measurement of stored samples and collection of data from studies identified through a systematic search of the literature (PubMed, Scientific Citation Index Expanded, and Embase) for articles published up to Sept 4, 2014, using search terms related to natriuretic peptide family members and the primary outcomes, with no language restrictions. We calculated risk ratios and measures of risk discrimination and reclassification across predicted 10 year risk categories (ie
- Published
- 2016
- Full Text
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