221 results on '"Moayyeri, Alireza"'
Search Results
2. Impact of fragility fractures on activities of daily living and productivity in community-dwelling women: a multi-national study
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Yeh, Eric J., Rajkovic-Hooley, Olivera, Silvey, Mark, Ambler, William S., Milligan, Gary, Pinedo-Villanueva, Rafael, Harvey, Nicholas C., and Moayyeri, Alireza
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- 2023
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3. Mortality following fragility hip fracture in China: a record linkage study
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Hua, Yiwen, Li, Ying, Zhou, Jiachen, Fan, Lijun, Huang, Feng, Wu, Zhanpo, Xue, Hui, Yang, Bingquan, Chen, Ping, Rui, Yunfeng, Tian, Yong, Moayyeri, Alireza, Libanati, Cesar, and Du, Wei
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- 2023
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4. Risk assessment for osteoporotic fractures among men and women from a prospective population study : the EPIC-Norfolk study
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Moayyeri, Alireza and Khaw, Kay-Tee
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614 ,Osteoporosis ,Risk assessment ,Observational studies ,Meta-analysis ,Survival analysis - Abstract
Osteoporotic fractures are a major and increasing clinical and public health concern internationally. Identification of individuals at high risk for fragility fractures may enable us to target preventive interventions more effectively. In this thesis, I aimed to evaluate novel risk factors for osteoporosis and develop a fracture risk assessment model among the middle-aged and older people. I used data from the European Prospective Investigation into Cancer (EPIC)-Norfolk study, which is a large population-based prospective study started in 1993. About 25,000 men and women were assessed at baseline and about 15,000 of them returned for a second examination 4 years later. All participants are followed up to the present for clinical events including fractures. My work is in two parts. For the first part, I examined the risk of fracture associated with some novel or less well studied risk factors. These risk factors included change in height over time, respiratory function, physical activity and body fat mass. We found that men and women with annual height loss >0.5 cm are at increased risk of hip and any fracture (relative risk=1.9 (95% CI 1.3-2.7) per cm/year height loss). One litre lower forced expiratory volume in 1 second (FEV1) was associated with a 2-fold risk of hip fracture in men and women. We also observed a non-linear association, independent of body mass index, between increasing body fat mass and lower fracture risk in women but not in men. I performed a systematic review and meta-analysis of studies evaluating the association between physical activity and hip fractures. Using a new validated questionnaire in EPIC-Norfolk, we observed varying relationships between physical activity in different domains of life and fracture risk in men and women. For the second part of the thesis, I developed a biostatistical model to calculate 10-year risk of developing a fracture among EPIC-Norfolk study participants. This model incorporates clinical and radiological assessments known to be associated with fractures and can be extended to other risk factors assessed in other prospective cohorts. This helps clinicians to achieve a better estimate of the prospective risk of fracture in their patients. I applied this model to compare the predictive value of two different clinical assessment methods for osteoporosis, namely dual-energy X-ray absorptiometry (DXA) and quantitative ultrasound (QUS). We found that that the predictive power of QUS is comparable to, and independent of, predictive power of DXA. In summary, my studies have added to our knowledge about some novel and easy-to-use risk factors of osteoporosis and proposed a practical method to merge and utilise data from different risk factors for estimation of fracture risk in individuals.
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- 2012
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5. KLB is associated with alcohol drinking, and its gene product β-Klotho is necessary for FGF21 regulation of alcohol preference
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Schumann, Gunter, Liu, Chunyu, O’Reilly, Paul, Gao, He, Song, Parkyong, Xu, Bing, Ruggeri, Barbara, Amin, Najaf, Jia, Tianye, Preis, Sarah, Lepe, Marcelo Segura, Akira, Shizuo, Barbieri, Caterina, Baumeister, Sebastian, Cauchi, Stephane, Clarke, Toni-Kim, Enroth, Stefan, Fische, Kristar, Hällfors, Jenni, Harris, Sarah E., Hieber, Saskia, Hofer, Edith, Hottenga, Jouke-Jan, Johansson, Åsa, Joshi, Peter K., Kaartinen, Niina, Laitinen, Jaana, Lemaitre, Rozenn, Loukola, Anu, Luan, Jian’an, Lyytikäinen, Leo-Pekka, Mangino, Massimo, Manichaikul, Ani, Mbarek, Hamdi, Milaneschi, Yuri, Moayyeri, Alireza, Mukamal, Kenneth, Nelson, Christopher, Nettleton, Jennifer, Partinen, Eemil, Rawal, Rajesh, Robino, Antonietta, Rose, Lynda, Sala, Cinzia, Satoh, Takashi, Schmidt, Reinhold, Schraut, Katharina, Scott, Robert, Smith, Albert Vernon, Starr, John M., Teumer, Alexander, Trompet, Stella, Uitterlinden, André G., Venturini, Cristina, Vergnaud, Anne-Claire, Verweij, Niek, Vitart, Veronique, Vuckovic, Dragana, Wedenoja, Juho, Yengo, Loic, Yu, Bing, Zhang, Weihua, Zhao, Jing Hua, Boomsma, Dorret I., Chambers, John, Chasman, Daniel I., Daniela, Toniolo, de Geus, Eco, Deary, Ian, Eriksson, Johan G., Esko, Tõnu, Eulenburg, Volker, Franco, Oscar H., Froguel, Philippe, Gieger, Christian, Grabe, Hans J., Gudnason, Vilmundur, Gyllensten, Ulf, Harris, Tamara B., Hartikainen, Anna-Liisa, Heath, Andrew C., Hocking, Lynne, Hofman, Albert, Huth, Cornelia, Jarvelin, Marjo-Riitta, Jukema, J. Wouter, Kaprio, Jaakko, Kooner, Jaspal S., Kutalik, Zoltan, Lahti, Jari, Langenberg, Claudia, Lehtimäki, Terho, Liu, Yongmei, Madden, Pamela A. F., Martin, Nicholas, Morrison, Alanna, Penninx, Brenda, Pirastu, Nicola, Psaty, Bruce, Raitakari, Olli, Ridker, Paul, Rose, Richard, Rotter, Jerome I., Samani, Nilesh J., Schmidt, Helena, Spector, Tim D., Stott, David, Strachan, David, Tzoulaki, Ioanna, van der Harst, Pim, van Duijn, Cornelia M., Marques-Vidal, Pedro, Vollenweider, Peter, Wareham, Nicholas J., Whitfield, John B., Wilson, James, Wolffenbuttel, Bruce, Bakalkin, Georgy, Evangelou, Evangelos, Liu, Yun, Rice, Kenneth M., Desrivières, Sylvane, Kliewer, Steven A., Mangelsdorf, David J., Müller, Christian P., Levy, Daniel, and Elliott, Paul
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- 2016
6. The UK adult twin registry (TwinsUK resource)
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Moayyeri, Alireza, Hammond, Christopher J, Hart, Deborah J, and Spector, Timothy D
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- 2013
7. Age- and sex-specific risk of incident vertebral fractures for subsequent vertebral fractures: results from a large German health insurance dataset
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Glüer, Claus-Christian, Engelke, Klaus, Kistler, Martin, Thomasius, Friederike, Hadji, Peyman, Schweikert, Bernd, Libanati, Cesar, and Moayyeri, Alireza
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- 2022
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8. Estimation of Absolute Fracture Risk among Middle-Aged and Older Men and Women: The EPIC-Norfolk Population Cohort Study
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Moayyeri, Alireza, Kaptoge, Stephen, Luben, Robert N., Wareham, Nicholas J., Bingham, Sheila, Reeve, Jonathan, and Khaw, Kay Tee
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- 2009
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9. Official Positions for FRAX ® Bone Mineral Density and FRAX ® Simplification : From Joint Official Positions Development Conference of the International Society for Clinical Densitometry and International Osteoporosis Foundation on FRAX ®
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Lewiecki, E. Michael, Compston, Juliet E., Miller, Paul D., Adachi, Jonathan D., Adams, Judith E., Leslie, William D., Kanis, John A., Moayyeri, Alireza, Adler, Robert A., Hans, Didier B., Kendler, David L., Diez-Perez, Adolfo, Krieg, Marc-Antoine, Masri, Basel K., Lorenc, Roman R., Bauer, Douglas C., Blake, Glen M., Josse, Robert G., Clark, Patricia, and Khan, Aliya A.
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- 2011
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10. Evidence Based Medicine: Does It Make A Difference?
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Druss, Benjamin, Glasziou, Paul, Kernick, David P., Gerhardus, Ansgar, Wilson, Tim, Ben-Shlomo, Yoav, Moayyeri, Alireza, Soltani, Akbar, and Twisselmann, Birte
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- 2005
11. Estimating the Incidence and Key Risk Factors of Cardiovascular Disease in Patients at High Risk of Imminent Fracture Using Routinely Collected Real‐World Data From the UK.
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Pineda‐Moncusí, Marta, El‐Hussein, Leena, Delmestri, Antonella, Cooper, Cyrus, Moayyeri, Alireza, Libanati, Cesar, Toth, Emese, Prieto‐Alhambra, Daniel, and Khalid, Sara
- Abstract
The objective of this work was to estimate the incidence rate of cardiovascular disease (CVD) events (myocardial infarction, stroke, or CVD death) at 1 year among three cohorts of patients at high risk of fracture (osteoporosis, previous fracture, and anti‐osteoporosis medication) and to identify the key risk factors of CVD events in these three cohorts. To do so, this prospective cohort study used data from the Clinical Practice Research Datalink, a primary care database from United Kingdom. Major adverse cardiovascular events (MACE, a composite outcome for the occurrence of either myocardial infarction [MI], stroke, or CVD death) were identified in patients aged 50 years or older at high or imminent fracture risk identified in three different cohorts (not mutually exclusive): recently diagnosed with osteoporosis (OST, n = 65,295), incident fragility fracture (IFX, n = 67,065), and starting oral bisphosphonates (OBP, n = 145,959). About 1.90%, 4.39%, and 2.38% of the participants in OST, IFX, and OBP cohorts, respectively, experienced MACE events. IFX was the cohort with the higher risk: MACE incidence rates (cases/1000 person‐years) were 19.63 (18.54–20.73) in OST, 52.64 (50.7–54.5) in IFX, and 26.26 (25.41–27.12) in OBP cohorts. Risk of MACE events at 1 year was predicted in the three cohorts. Models using a set of general, CVD, and fracture candidates selected by lasso regression had a good discrimination (≥70%) and internal validity and generally outperformed the models using only the CVD risk factors of general population listed in QRISK tool. Main risk factors common in all MACE models were sex, age, smoking, alcohol, atrial fibrillation, antihypertensive medication, prior MI/stroke, established CVD, glomerular filtration rate, systolic blood pressure, cholesterol levels, and number of concomitant medicines. Identified key risk factors highlight the differences of patients at high risk of fracture versus general population. Proposed models could improve prediction of CVD events in patients with osteoporosis in primary care settings. © 2022 The Authors. Journal of Bone and Mineral Research published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research (ASBMR). [ABSTRACT FROM AUTHOR]
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- 2022
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12. 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 C. P. G. M., 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, Arp, Pascal P., Koromani, Fjorda, Prince, Richard L., Lewis, Joshua R., Langdahl, Bente L., Hermann, Pernille A., Jensen, Jens-Erik B., Kaptoge, Stephen, Khaw, Kay-Tee, Reeve, Jonathan, Formosa, Melissa M., Xuereb-Anastasi, Angela, Åkesson, Kristina, McGuigan, Fiona E., Garg, Gaurav, Olmos, Jose M., Zarrabeitia, Maria T., Riancho, Jose A., Ralston, Stuart H., Alonso, Nerea, Jiang, Xi, Goltzman, David, Pastinen, Tomi, Grundberg, Elin, Gauguier, Dominique, Orwoll, Eric S., Karasik, David, Davey-Smith, George, Smith, Albert V., Siggeirsdottir, Kristin, Harris, Tamara B., Zillikens, Carola M., van Meurs, Joyce B. J., Thorsteinsdottir, Unnur, Maurano, Matthew T., Timpson, Nicholas J., Soranzo, Nicole, Durbin, Richard, Wilson, Scott G., Ntzani, Evangelia E., Brown, Matthew A., Stefansson, Kari, Hinds, David A., Spector, Tim, Cupples, Adrienne L., Ohlsson, Claes, Greenwood, Celia M. T., Jackson, Rebecca D., Rowe, David W., Loomis, Cynthia A., Evans, David M., Ackert-Bicknell, Cheryl L., Joyner, Alexandra L., Duncan, Emma L., Kiel, Douglas P., Rivadeneira, Fernando, and Richards, Brent J.
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- 2015
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13. The UK10K project identifies rare variants in health and disease
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Walter, Klaudia, Min, Josine L., Huang, Jie, Crooks, Lucy, Memari, Yasin, Perry, John R. B., Xu, ChangJiang, Futema, Marta, Lawson, Daniel, Iotchkova, Valentina, Schiffels, Stephan, Hendricks, Audrey E., Danecek, Petr, Li, Rui, Floyd, James, Wain, Louise V., Humphries, Steve E., Barrett, Jeffrey C., Bala, Senduran, Clapham, Peter, Coates, Guy, Cox, Tony, Daly, Allan, Du, Yuanping, Edkins, Sarah, Ellis, Peter, Flicek, Paul, Guo, Xiaosen, Guo, Xueqin, Huang, Liren, Jackson, David K., Joyce, Chris, Keane, Thomas, Kolb-Kokocinski, Anja, Langford, Cordelia, Li, Yingrui, Liang, Jieqin, Lin, Hong, Liu, Ryan, Maslen, John, McCarthy, Shane, (co-chair), Muddyman, Dawn, Quail, Michael A., Stalker, Jim, (co-chair), Sun, Jianping, Tian, Jing, Wang, Guangbiao, Wang, Jun, Wang, Yu, Wong, Kim, Zhang, Pingbo, Birney, Ewan, Boustred, Chris, Chen, Lu, Clement, Gail, Cocca, Massimiliano, Smith, George Davey, Day, Ian N. M., Day-Williams, Aaron, Down, Thomas, Dunham, Ian, Evans, David M., Gaunt, Tom R., Geihs, Matthias, Hart, Deborah, Howie, Bryan, Hubbard, Tim, Hysi, Pirro, Jamshidi, Yalda, Karczewski, Konrad J., Kemp, John P., Lachance, Genevieve, Lek, Monkol, Lopes, Margarida, MacArthur, Daniel G., Marchini, Jonathan, Mangino, Massimo, Mathieson, Iain, Metrustry, Sarah, Moayyeri, Alireza, Northstone, Kate, Panoutsopoulou, Kalliope, Paternoster, Lavinia, Quaye, Lydia, Richards, Brent J., (co-chair), Ring, Susan, Ritchie, Graham R. S., Shihab, Hashem A., Shin, So-Youn, Small, Kerrin S., Artigas, María Soler, Soranzo, Nicole, (co-chair), Southam, Lorraine, Spector, Timothy D., St Pourcain, Beate, Surdulescu, Gabriela, Tachmazidou, Ioanna, Timpson, Nicholas J., (co-chair), Tobin, Martin D., Valdes, Ana M., Visscher, Peter M., Ward, Kirsten, Wilson, Scott G., Yang, Jian, Zhang, Feng, Zheng, Hou-Feng, Anney, Richard, Ayub, Muhammad, Blackwood, Douglas, Bolton, Patrick F., Breen, Gerome, Collier, David A., Craddock, Nick, Curran, Sarah, Curtis, David, Gallagher, Louise, Geschwind, Daniel, Gurling, Hugh, Holmans, Peter, Lee, Irene, Lönnqvist, Jouko, McGuffin, Peter, McIntosh, Andrew M., McKechanie, Andrew G., McQuillin, Andrew, Morris, James, OʼDonovan, Michael C., Owen, Michael J., (co-chair), Palotie, Aarno, (co-chair), Parr, Jeremy R., Paunio, Tiina, Pietilainen, Olli, Rehnström, Karola, Sharp, Sally I., Skuse, David, St Clair, David, Suvisaari, Jaana, Walters, James T. R., Williams, Hywel J., Barroso, Inês, (co-chair), Bochukova, Elena, Bounds, Rebecca, Dominiczak, Anna, Farooqi, Sadaf I., (co-chair), Keogh, Julia, Marenne, Gaëlle, Morris, Andrew, OʼRahilly, Stephen, Porteous, David J., Smith, Blair H., Wheeler, Eleanor, Al Turki, Saeed, Anderson, Carl A., Antony, Dinu, Beales, Phil, Bentham, Jamie, Bhattacharya, Shoumo, Calissano, Mattia, Carss, Keren, Chatterjee, Krishna, Cirak, Sebahattin, Cosgrove, Catherine, Fitzpatrick, David R., (co-chair), Foley, Reghan A., Franklin, Christopher S., Grozeva, Detelina, Hurles, Matthew E., (co-chair), Mitchison, Hannah M., Muntoni, Francesco, Onoufriadis, Alexandros, Parker, Victoria, Payne, Felicity, Raymond, Lucy F., Roberts, Nicola, Savage, David B., Scambler, Peter, Schmidts, Miriam, Schoenmakers, Nadia, Semple, Robert K., Serra, Eva, Spasic-Boskovic, Olivera, Stevens, Elizabeth, van Kogelenberg, Margriet, Vijayarangakannan, Parthiban, Williamson, Kathleen A., Wilson, Crispian, Whyte, Tamieka, Ciampi, Antonio, Greenwood, Celia M. T., (co-chair), Oualkacha, Karim, Zeggini, Eleftheria, (co-chair), Bobrow, Martin, Griffin, Heather, Kaye, Jane, (co-chair), Kennedy, Karen, Kent, Alastair, Smee, Carol, Charlton, Ruth, Ekong, Rosemary, Khawaja, Farrah, Lopes, Luis R., Migone, Nicola, Payne, Stewart J., Plagnol, Vincent, (chair), Pollitt, Rebecca C., Povey, Sue, Ridout, Cheryl K., Robinson, Rachel L., Scott, Richard H., Shaw, Adam, Syrris, Petros, Taylor, Rohan, Vandersteen, Anthony M., Durbin, Richard, (chair), Amuzu, Antoinette, Casas, Juan Pablo, Chambers, John C., Dedoussis, George, Gambaro, Giovanni, Gasparini, Paolo, Isaacs, Aaron, Johnson, Jon, Kleber, Marcus E., Kooner, Jaspal S., Langenberg, Claudia, Luan, Jianʼan, Malerba, Giovanni, März, Winfried, Matchan, Angela, Morris, Richard, Nordestgaard, Børge G., Benn, Marianne, Scott, Robert A., Toniolo, Daniela, Traglia, Michela, Tybjaerg-Hansen, Anne, van Duijn, Cornelia M., van Leeuwen, Elisabeth M., Varbo, Anette, Whincup, Peter, Zaza, Gianluigi, and Zhang, Weihua
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- 2015
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14. Towards evidence-based diagnosis in developing countries : The use of likelihood ratios for robust quick diagnosis
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Soltani Akbar and Moayyeri Alireza
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Medicine - Abstract
Evidence-based medicine (EBM), a relatively new paradigm for clinical practice, stresses the use of research evidence in diagnostic evaluations and therapeutic interventions. Financial and instrumental scarcities in developing countries require clinicians to visit patients under time constraints, especially in outpatient clinical settings. In this situation, clinicians need diagnostic approaches that reduce both diagnostic time and errors. This article discusses what EBM can do to help physicians in this regard. For quick history taking and physical examination, all physicians utilize certain "key pointers" (signs or symptoms or paraclinical tests that influence the pretest estimation of the disease prevalence). EBM emphasizes that these key pointers are nothing but signs or symptoms with significant likelihood ratios. Likelihood ratios are a practical means of interpreting clinical tests; physicians can derive likelihood ratios from critically appraised studies. The use of clinical tests with sizeable likelihood ratios and with likelihood ratios for key pointers from independent body systems may significantly decrease both diagnostic time and errors. EBM could be a significant aid to physicians in the developing world.
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- 2006
15. The association between physical activity in different domains of life and risk of osteoporotic fractures
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Moayyeri, Alireza, Besson, Hervé, Luben, Robert N., Wareham, Nicholas J., and Khaw, Kay-Tee
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- 2010
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16. The effect of including quantitative heel ultrasound in models for estimation of 10-year absolute risk of fracture
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Moayyeri, Alireza, Kaptoge, Stephen, Dalzell, Nichola, Luben, Robert N., Wareham, Nicholas J., Bingham, Sheila, Reeve, Jonathan, and Khaw, Kay Tee
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- 2009
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17. Genetic studies of body mass index yield new insights for obesity biology
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Locke, Adam E., Kahali, Bratati, Berndt, Sonja I., Justice, Anne E., Pers, Tune H., Day, Felix R., Powell, Corey, Vedantam, Sailaja, Buchkovich, Martin L., Yang, Jian, Croteau-Chonka, Damien C., Esko, Tonu, Fall, Tove, Ferreira, Teresa, Gustafsson, Stefan, Kutalik, Zoltán, Luan, Jianʼan, Mägi, Reedik, Randall, Joshua C., Winkler, Thomas W., Wood, Andrew R., Workalemahu, Tsegaselassie, Faul, Jessica D., Smith, Jennifer A., Hua Zhao, Jing, Zhao, Wei, Chen, Jin, Fehrmann, Rudolf, Hedman, Åsa K., Karjalainen, Juha, Schmidt, Ellen M., Absher, Devin, Amin, Najaf, Anderson, Denise, Beekman, Marian, Bolton, Jennifer L., Bragg-Gresham, Jennifer L., Buyske, Steven, Demirkan, Ayse, Deng, Guohong, Ehret, Georg B., Feenstra, Bjarke, Feitosa, Mary F., Fischer, Krista, Goel, Anuj, Gong, Jian, Jackson, Anne U., Kanoni, Stavroula, Kleber, Marcus E., Kristiansson, Kati, Lim, Unhee, Lotay, Vaneet, Mangino, Massimo, Mateo Leach, Irene, Medina-Gomez, Carolina, Medland, Sarah E., Nalls, Michael A., Palmer, Cameron D., Pasko, Dorota, Pechlivanis, Sonali, Peters, Marjolein J., Prokopenko, Inga, Shungin, Dmitry, Stančáková, Alena, Strawbridge, Rona J., Ju Sung, Yun, Tanaka, Toshiko, Teumer, Alexander, Trompet, Stella, van der Laan, Sander W., van Setten, Jessica, Van Vliet-Ostaptchouk, Jana V., Wang, Zhaoming, Yengo, Loïc, Zhang, Weihua, Isaacs, Aaron, Albrecht, Eva, Ärnlöv, Johan, Arscott, Gillian M., Attwood, Antony P., Bandinelli, Stefania, Barrett, Amy, Bas, Isabelita N., Bellis, Claire, Bennett, Amanda J., Berne, Christian, Blagieva, Roza, Blüher, Matthias, Böhringer, Stefan, Bonnycastle, Lori L., Böttcher, Yvonne, Boyd, Heather A., Bruinenberg, Marcel, Caspersen, Ida H., Ida Chen, Yii-Der, Clarke, Robert, Warwick Daw, E., de Craen, Anton J. M., Delgado, Graciela, Dimitriou, Maria, Doney, Alex S. F., Eklund, Niina, Estrada, Karol, Eury, Elodie, Folkersen, Lasse, Fraser, Ross M., Garcia, Melissa E., Geller, Frank, Giedraitis, Vilmantas, Gigante, Bruna, Go, Alan S., Golay, Alain, Goodall, Alison H., Gordon, Scott D., Gorski, Mathias, Grabe, Hans-Jörgen, Grallert, Harald, Grammer, Tanja B., Gräler, Jürgen, Grönberg, Henrik, Groves, Christopher J., Gusto, Gaëlle, Haessler, Jeffrey, Hall, Per, Haller, Toomas, Hallmans, Goran, Hartman, Catharina A., Hassinen, Maija, Hayward, Caroline, Heard-Costa, Nancy L., Helmer, Quinta, Hengstenberg, Christian, Holmen, Oddgeir, Hottenga, Jouke-Jan, James, Alan L., Jeff, Janina M., Johansson, Åsa, Jolley, Jennifer, Juliusdottir, Thorhildur, Kinnunen, Leena, Koenig, Wolfgang, Koskenvuo, Markku, Kratzer, Wolfgang, Laitinen, Jaana, Lamina, Claudia, Leander, Karin, Lee, Nanette R., Lichtner, Peter, Lind, Lars, Lindström, Jaana, Sin Lo, Ken, Lobbens, Stéphane, Lorbeer, Roberto, Lu, Yingchang, Mach, François, Magnusson, Patrik K. E., Mahajan, Anubha, McArdle, Wendy L., McLachlan, Stela, Menni, Cristina, Merger, Sigrun, Mihailov, Evelin, Milani, Lili, Moayyeri, Alireza, Monda, Keri L., Morken, Mario A., Mulas, Antonella, Müller, Gabriele, Müller-Nurasyid, Martina, Musk, Arthur W., Nagaraja, Ramaiah, Nöthen, Markus M., Nolte, Ilja M., Pilz, Stefan, Rayner, Nigel W., Renstrom, Frida, Rettig, Rainer, Ried, Janina S., Ripke, Stephan, Robertson, Neil R., Rose, Lynda M., Sanna, Serena, Scharnagl, Hubert, Scholtens, Salome, Schumacher, Fredrick R., Scott, William R., Seufferlein, Thomas, Shi, Jianxin, Vernon Smith, Albert, Smolonska, Joanna, Stanton, Alice V., Steinthorsdottir, Valgerdur, Stirrups, Kathleen, Stringham, Heather M., Sundström, Johan, Swertz, Morris A., Swift, Amy J., Syvänen, Ann-Christine, Tan, Sian-Tsung, Tayo, Bamidele O., Thorand, Barbara, Thorleifsson, Gudmar, Tyrer, Jonathan P., Uh, Hae-Won, Vandenput, Liesbeth, Verhulst, Frank C., Vermeulen, Sita H., Verweij, Niek, Vonk, Judith M., Waite, Lindsay L., Warren, Helen R., Waterworth, Dawn, Weedon, Michael N., Wilkens, Lynne R., Willenborg, Christina, Wilsgaard, Tom, Wojczynski, Mary K., Wong, Andrew, Wright, Alan F., Zhang, Qunyuan, Brennan, Eoin P., Choi, Murim, Dastani, Zari, Drong, Alexander W., Eriksson, Per, Franco-Cereceda, Anders, Gådin, Jesper R., Gharavi, Ali G., Goddard, Michael E., Handsaker, Robert E., Huang, Jinyan, Karpe, Fredrik, Kathiresan, Sekar, Keildson, Sarah, Kiryluk, Krzysztof, Kubo, Michiaki, Lee, Jong-Young, Liang, Liming, Lifton, Richard P., Ma, Baoshan, McCarroll, Steven A., McKnight, Amy J., Min, Josine L., Moffatt, Miriam F., Montgomery, Grant W., Murabito, Joanne M., Nicholson, George, Nyholt, Dale R., Okada, Yukinori, Perry, John R. B., Dorajoo, Rajkumar, Reinmaa, Eva, Salem, Rany M., Sandholm, Niina, Scott, Robert A., Stolk, Lisette, Takahashi, Atsushi, Tanaka, Toshihiro, vanʼt Hooft, Ferdinand M., Vinkhuyzen, Anna A. E., Westra, Harm-Jan, Zheng, Wei, Zondervan, Krina T., Heath, Andrew C., Arveiler, Dominique, Bakker, Stephan J. L., Beilby, John, Bergman, Richard N., Blangero, John, Bovet, Pascal, Campbell, Harry, Caulfield, Mark J., Cesana, Giancarlo, Chakravarti, Aravinda, Chasman, Daniel I., Chines, Peter S., Collins, Francis S., Crawford, Dana C., Adrienne Cupples, L., Cusi, Daniele, Danesh, John, de Faire, Ulf, den Ruijter, Hester M., Dominiczak, Anna F., Erbel, Raimund, Erdmann, Jeanette, Eriksson, Johan G., Farrall, Martin, Felix, Stephan B., Ferrannini, Ele, Ferrières, Jean, Ford, Ian, Forouhi, Nita G., Forrester, Terrence, Franco, Oscar H., Gansevoort, Ron T., Gejman, Pablo V., Gieger, Christian, Gottesman, Omri, Gudnason, Vilmundur, Gyllensten, Ulf, Hall, Alistair S., Harris, Tamara B., Hattersley, Andrew T., Hicks, Andrew A., Hindorff, Lucia A., Hingorani, Aroon D., Hofman, Albert, Homuth, Georg, Kees Hovingh, G., Humphries, Steve E., Hunt, Steven C., Hyppönen, Elina, Illig, Thomas, Jacobs, Kevin B., Jarvelin, Marjo-Riitta, Jöckel, Karl-Heinz, Johansen, Berit, Jousilahti, Pekka, Wouter Jukema, J., Jula, Antti M., Kaprio, Jaakko, Kastelein, John J. P., Keinanen-Kiukaanniemi, Sirkka M., Kiemeney, Lambertus A., Knekt, Paul, Kooner, Jaspal S., Kooperberg, Charles, Kovacs, Peter, Kraja, Aldi T., Kumari, Meena, Kuusisto, Johanna, Lakka, Timo A., Langenberg, Claudia, Le Marchand, Loic, Lehtimäki, Terho, Lyssenko, Valeriya, Männistö, Satu, Marette, André, Matise, Tara C., McKenzie, Colin A., McKnight, Barbara, Moll, Frans L., Morris, Andrew D., Morris, Andrew P., Murray, Jeffrey C., Nelis, Mari, Ohlsson, Claes, Oldehinkel, Albertine J., Ong, Ken K., Madden, Pamela A. F., Pasterkamp, Gerard, Peden, John F., Peters, Annette, Postma, Dirkje S., Pramstaller, Peter P., Price, Jackie F., Qi, Lu, Raitakari, Olli T., Rankinen, Tuomo, Rao, D. C., Rice, Treva K., Ridker, Paul M., Rioux, John D., Ritchie, Marylyn D., Rudan, Igor, Salomaa, Veikko, Samani, Nilesh J., Saramies, Jouko, Sarzynski, Mark A., Schunkert, Heribert, Schwarz, Peter E. H., Sever, Peter, Shuldiner, Alan R., Sinisalo, Juha, Stolk, Ronald P., Strauch, Konstantin, Tönjes, Anke, Trégouët, David-Alexandre, Tremblay, Angelo, Tremoli, Elena, Virtamo, Jarmo, Vohl, Marie-Claude, Völker, Uwe, Waeber, Gérard, Willemsen, Gonneke, Witteman, Jacqueline C., Carola Zillikens, M., Adair, Linda S., Amouyel, Philippe, Asselbergs, Folkert W., Assimes, Themistocles L., Bochud, Murielle, Boehm, Bernhard O., Boerwinkle, Eric, Bornstein, Stefan R., Bottinger, Erwin P., Bouchard, Claude, Cauchi, Stéphane, Chambers, John C., Chanock, Stephen J., Cooper, Richard S., de Bakker, Paul I. W., Dedoussis, George, Ferrucci, Luigi, Franks, Paul W., Froguel, Philippe, Groop, Leif C., Haiman, Christopher A., Hamsten, Anders, Hui, Jennie, Hunter, David J., Hveem, Kristian, Kaplan, Robert C., Kivimaki, Mika, Kuh, Diana, Laakso, Markku, Liu, Yongmei, Martin, Nicholas G., März, Winfried, Melbye, Mads, Metspalu, Andres, Moebus, Susanne, Munroe, Patricia B., Njølstad, Inger, Oostra, Ben A., Palmer, Colin N. A., Pedersen, Nancy L., Perola, Markus, Pérusse, Louis, Peters, Ulrike, Power, Chris, Quertermous, Thomas, Rauramaa, Rainer, Rivadeneira, Fernando, Saaristo, Timo E., Saleheen, Danish, Sattar, Naveed, Schadt, Eric E., Schlessinger, David, Eline Slagboom, P., Snieder, Harold, Spector, Tim D., Thorsteinsdottir, Unnur, Stumvoll, Michael, Tuomilehto, Jaakko, Uitterlinden, André G., Uusitupa, Matti, van der Harst, Pim, Walker, Mark, Wallaschofski, Henri, Wareham, Nicholas J., Watkins, Hugh, Weir, David R., Wichmann, H-Erich, Wilson, James F., Zanen, Pieter, Borecki, Ingrid B., Deloukas, Panos, Fox, Caroline S., Heid, Iris M., OʼConnell, Jeffrey R., Strachan, David P., Stefansson, Kari, van Duijn, Cornelia M., Abecasis, Gonçalo R., Franke, Lude, Frayling, Timothy M., McCarthy, Mark I., Visscher, Peter M., Scherag, André, Willer, Cristen J., Boehnke, Michael, Mohlke, Karen L., Lindgren, Cecilia M., Beckmann, Jacques S., Barroso, Inês, North, Kari E., Ingelsson, Erik, Hirschhorn, Joel N., Loos, Ruth J. F., and Speliotes, Elizabeth K.
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- 2015
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18. New genetic loci link adipose and insulin biology to body fat distribution
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Shungin, Dmitry, Winkler, Thomas W., Croteau-Chonka, Damien C., Ferreira, Teresa, Locke, Adam E., Mägi, Reedik, Strawbridge, Rona J., Pers, Tune H., Fischer, Krista, Justice, Anne E., Workalemahu, Tsegaselassie, Wu, Joseph M. W., Buchkovich, Martin L., Heard-Costa, Nancy L., Roman, Tamara S., Drong, Alexander W., Song, Ci, Gustafsson, Stefan, Day, Felix R., Esko, Tonu, Fall, Tove, Kutalik, Zoltán, Luan, Jianʼan, Randall, Joshua C., Scherag, André, Vedantam, Sailaja, Wood, Andrew R., Chen, Jin, Fehrmann, Rudolf, Karjalainen, Juha, Kahali, Bratati, Liu, Ching-Ti, Schmidt, Ellen M., Absher, Devin, Amin, Najaf, Anderson, Denise, Beekman, Marian, Bragg-Gresham, Jennifer L., Buyske, Steven, Demirkan, Ayse, Ehret, Georg B., Feitosa, Mary F., Goel, Anuj, Jackson, Anne U., Johnson, Toby, Kleber, Marcus E., Kristiansson, Kati, Mangino, Massimo, Mateo Leach, Irene, Medina-Gomez, Carolina, Palmer, Cameron D., Pasko, Dorota, Pechlivanis, Sonali, Peters, Marjolein J., Prokopenko, Inga, Stančáková, Alena, Ju Sung, Yun, Tanaka, Toshiko, Teumer, Alexander, Van Vliet-Ostaptchouk, Jana V., Yengo, Loïc, Zhang, Weihua, Albrecht, Eva, Ärnlöv, Johan, Arscott, Gillian M., Bandinelli, Stefania, Barrett, Amy, Bellis, Claire, Bennett, Amanda J., Berne, Christian, Blüher, Matthias, Böhringer, Stefan, Bonnet, Fabrice, Böttcher, Yvonne, Bruinenberg, Marcel, Carba, Delia B., Caspersen, Ida H., Clarke, Robert, Warwick Daw, E., Deelen, Joris, Deelman, Ewa, Delgado, Graciela, Doney, Alex S. F., Eklund, Niina, Erdos, Michael R., Estrada, Karol, Eury, Elodie, Friedrich, Nele, Garcia, Melissa E., Giedraitis, Vilmantas, Gigante, Bruna, Go, Alan S., Golay, Alain, Grallert, Harald, Grammer, Tanja B., Gräler, Jürgen, Grewal, Jagvir, Groves, Christopher J., Haller, Toomas, Hallmans, Goran, Hartman, Catharina A., Hassinen, Maija, Hayward, Caroline, Heikkilä, Kauko, Herzig, Karl-Heinz, Helmer, Quinta, Hillege, Hans L., Holmen, Oddgeir, Hunt, Steven C., Isaacs, Aaron, Ittermann, Till, James, Alan L., Johansson, Ingegerd, Juliusdottir, Thorhildur, Kalafati, Ioanna-Panagiota, Kinnunen, Leena, Koenig, Wolfgang, Kooner, Ishminder K., Kratzer, Wolfgang, Lamina, Claudia, Leander, Karin, Lee, Nanette R., Lichtner, Peter, Lind, Lars, Lindström, Jaana, Lobbens, Stéphane, Lorentzon, Mattias, Mach, François, Magnusson, Patrik K. E., Mahajan, Anubha, McArdle, Wendy L., Menni, Cristina, Merger, Sigrun, Mihailov, Evelin, Milani, Lili, Mills, Rebecca, Moayyeri, Alireza, Monda, Keri L., Mooijaart, Simon P., Mühleisen, Thomas W., Mulas, Antonella, Müller, Gabriele, Müller-Nurasyid, Martina, Nagaraja, Ramaiah, Nalls, Michael A., Narisu, Narisu, Glorioso, Nicola, Nolte, Ilja M., Olden, Matthias, Rayner, Nigel W., Renstrom, Frida, Ried, Janina S., Robertson, Neil R., Rose, Lynda M., Sanna, Serena, Scharnagl, Hubert, Scholtens, Salome, Sennblad, Bengt, Seufferlein, Thomas, Sitlani, Colleen M., Vernon Smith, Albert, Stirrups, Kathleen, Stringham, Heather M., Sundström, Johan, Swertz, Morris A., Swift, Amy J., Syvänen, Ann-Christine, Tayo, Bamidele O., Thorand, Barbara, Thorleifsson, Gudmar, Tomaschitz, Andreas, Troffa, Chiara, van Oort, Floor V. A., Verweij, Niek, Vonk, Judith M., Waite, Lindsay L., Wennauer, Roman, Wilsgaard, Tom, Wojczynski, Mary K., Wong, Andrew, Zhang, Qunyuan, Hua Zhao, Jing, Brennan, Eoin P., Choi, Murim, Eriksson, Per, Folkersen, Lasse, Franco-Cereceda, Anders, Gharavi, Ali G., Hedman, Åsa K., Hivert, Marie-France, Huang, Jinyan, Kanoni, Stavroula, Karpe, Fredrik, Keildson, Sarah, Kiryluk, Krzysztof, Liang, Liming, Lifton, Richard P., Ma, Baoshan, McKnight, Amy J., McPherson, Ruth, Metspalu, Andres, Min, Josine L., Moffatt, Miriam F., Montgomery, Grant W., Murabito, Joanne M., Nicholson, George, Nyholt, Dale R., Olsson, Christian, Perry, John R. B., Reinmaa, Eva, Salem, Rany M., Sandholm, Niina, Schadt, Eric E., Scott, Robert A., Stolk, Lisette, Vallejo, Edgar E., Westra, Harm-Jan, Zondervan, Krina T., Amouyel, Philippe, Arveiler, Dominique, Bakker, Stephan J. L., Beilby, John, Bergman, Richard N., Blangero, John, Brown, Morris J., Burnier, Michel, Campbell, Harry, Chakravarti, Aravinda, Chines, Peter S., Claudi-Boehm, Simone, Collins, Francis S., Crawford, Dana C., Danesh, John, de Faire, Ulf, de Geus, Eco J. C., Dörr, Marcus, Erbel, Raimund, Eriksson, Johan G., Farrall, Martin, Ferrannini, Ele, Ferrières, Jean, Forouhi, Nita G., Forrester, Terrence, Franco, Oscar H., Gansevoort, Ron T., Gieger, Christian, Gudnason, Vilmundur, Haiman, Christopher A., Harris, Tamara B., Hattersley, Andrew T., Heliövaara, Markku, Hicks, Andrew A., Hingorani, Aroon D., Hoffmann, Wolfgang, Hofman, Albert, Homuth, Georg, Humphries, Steve E., Hyppönen, Elina, Illig, Thomas, Jarvelin, Marjo-Riitta, Johansen, Berit, Jousilahti, Pekka, Jula, Antti M., Kaprio, Jaakko, Kee, Frank, Keinanen-Kiukaanniemi, Sirkka M., Kooner, Jaspal S., Kooperberg, Charles, Kovacs, Peter, Kraja, Aldi T., Kumari, Meena, Kuulasmaa, Kari, Kuusisto, Johanna, Lakka, Timo A., Langenberg, Claudia, Le Marchand, Loic, Lehtimäki, Terho, Lyssenko, Valeriya, Männistö, Satu, Marette, André, Matise, Tara C., McKenzie, Colin A., McKnight, Barbara, Musk, Arthur W., Möhlenkamp, Stefan, Morris, Andrew D., Nelis, Mari, Ohlsson, Claes, Oldehinkel, Albertine J., Ong, Ken K., Palmer, Lyle J., Penninx, Brenda W., Peters, Annette, Pramstaller, Peter P., Raitakari, Olli T., Rankinen, Tuomo, Rao, D. C., Rice, Treva K., Ridker, Paul M., Ritchie, Marylyn D., Rudan, Igor, Salomaa, Veikko, Samani, Nilesh J., Saramies, Jouko, Sarzynski, Mark A., Schwarz, Peter E. H., Shuldiner, Alan R., Staessen, Jan A., Steinthorsdottir, Valgerdur, Stolk, Ronald P., Strauch, Konstantin, Tönjes, Anke, Tremblay, Angelo, Tremoli, Elena, Vohl, Marie-Claude, Völker, Uwe, Vollenweider, Peter, Wilson, James F., Witteman, Jacqueline C., Adair, Linda S., Bochud, Murielle, Boehm, Bernhard O., Bornstein, Stefan R., Bouchard, Claude, Cauchi, Stéphane, Caulfield, Mark J., Chambers, John C., Chasman, Daniel I., Cooper, Richard S., Dedoussis, George, Ferrucci, Luigi, Froguel, Philippe, Grabe, Hans-Jörgen, Hamsten, Anders, Hui, Jennie, Hveem, Kristian, Jöckel, Karl-Heinz, Kivimaki, Mika, Kuh, Diana, Laakso, Markku, Liu, Yongmei, März, Winfried, Munroe, Patricia B., Njølstad, Inger, Oostra, Ben A., Palmer, Colin N. A., Pedersen, Nancy L., Perola, Markus, Pérusse, Louis, Peters, Ulrike, Power, Chris, Quertermous, Thomas, Rauramaa, Rainer, Rivadeneira, Fernando, Saaristo, Timo E., Saleheen, Danish, Sinisalo, Juha, Eline Slagboom, P., Snieder, Harold, Spector, Tim D., Thorsteinsdottir, Unnur, Stumvoll, Michael, Tuomilehto, Jaakko, Uitterlinden, André G., Uusitupa, Matti, van der Harst, Pim, Veronesi, Giovanni, Walker, Mark, Wareham, Nicholas J., Watkins, Hugh, Wichmann, H-Erich, Abecasis, Goncalo R., Assimes, Themistocles L., Berndt, Sonja I., Boehnke, Michael, Borecki, Ingrid B., Deloukas, Panos, Franke, Lude, Frayling, Timothy M., Groop, Leif C., Hunter, David J., Kaplan, Robert C., OʼConnell, Jeffrey R., Qi, Lu, Schlessinger, David, Strachan, David P., Stefansson, Kari, van Duijn, Cornelia M., Willer, Cristen J., Visscher, Peter M., Yang, Jian, Hirschhorn, Joel N., Carola Zillikens, M., McCarthy, Mark I., Speliotes, Elizabeth K., North, Kari E., Fox, Caroline S., Barroso, Inês, Franks, Paul W., Ingelsson, Erik, Heid, Iris M., Loos, Ruth J. F., Cupples, Adrienne L., Morris, Andrew P., Lindgren, Cecilia M., and Mohlke, Karen L
- Published
- 2015
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19. Genetic Influences on Circulating Vitamin D Level: A Review
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Zhang, Feng, Moayyeri, Alireza, and Spector, Timothy D.
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- 2012
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20. 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 M.A., 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 A.M., van der Velde, Nathalie, Kähönen, Mika, Viikari, Jorma S., Sievänen, Harri, Raitakari, Olli T., González-Macías, Jesús, Hernández, Jose L., Mellström, Dan, Ljunggren, Östen, 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 C.W., Aspelund, Thor, Richards, Brent J., Bauer, Doug, Hofman, Albert, Khaw, Kay-Tee, Dedoussis, George, Obermayer-Pietsch, Barbara, Gyllensten, Ulf, Pramstaller, Peter P., Lorenc, Roman S., Cooper, Cyrus, Kung, Annie Wai Chee, Lips, Paul, Alen, Markku, Attia, John, Brandi, Maria Luisa, de Groot, Lisette C.P.G.M., Lehtimäki, Terho, Riancho, José A., Campbell, Harry, Liu, Yongmei, Harris, Tamara B., Akesson, Kristina, Karlsson, Magnus, Lee, Jong-Young, Wallaschofski, Henri, Duncan, Emma L., OʼNeill, Terence W., Gudnason, Vilmundur, Spector, Timothy D., Rousseau, François, Orwoll, Eric, Cummings, Steven R., Wareham, Nick J., Rivadeneira, Fernando, Uitterlinden, Andre G., Prince, Richard L., Kiel, Douglas P., Reeve, Jonathan, and Kaptoge, Stephen K.
- Published
- 2014
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21. Metabolic syndrome and leptin concentrations in obese children
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Hamidi, Anahita, Fakhrzadeh, Hossein, Moayyeri, Alireza, Heshmat, Ramin, Ebrahimpour, Pantea, and Larjani, Bagher
- Published
- 2006
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22. The Value of Bayes Theorem in the Interpretation of Subjective Diagnostic Findings: What Can We Learn from Agreement Studies?
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Sadatsafavi, Mohsen, Moayyeri, Alireza, Bahrami, Hossein, and Soltani, Akbar
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Bayesian statistical decision theory -- Usage -- Models ,Subjectivity -- Models -- Usage ,Diagnosis -- Models -- Usage ,Health ,Usage ,Models - Abstract
Byline: Mohsen Sadatsafavi, MD, MHSc (Center for Clinical Epidemiology and Evaluation, Vancouver Coastal Health Institute, Vancouver, BC, Canada, msafavi@interchange.ubc.ca); Alireza Moayyeri, MD (Research Development Center, Shariati Hospital, Tehran University of [...]
- Published
- 2007
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23. Sample size requirements for bone density precision assessments and effect on patient categorization: A Monte Carlo simulation study
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Moayyeri, Alireza, Sadatsafavi, Mohsen, and Leslie, William D.
- Published
- 2007
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24. Cohort Profile: TwinsUK and Healthy Ageing Twin Study
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Moayyeri, Alireza, Hammond, Christopher J, Valdes, Ana M, and Spector, Timothy D
- Published
- 2013
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25. Association of FTO gene variants with body composition in UK twins
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Livshits, Gregory, Malkin, Ida, Moayyeri, Alireza, Spector, Timothy D, and Hammond, Christopher J
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- 2012
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26. Total Hip Bone Mineral Density as an Indicator of Fracture Risk in Bisphosphonate‐Treated Patients in a Real‐World Setting.
- Author
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Banefelt, Jonas, Timoshanko, Jen, Söreskog, Emma, Ortsäter, Gustaf, Moayyeri, Alireza, Åkesson, Kristina E., Spångéus, Anna, and Libanati, Cesar
- Abstract
Bone mineral density (BMD) is an established measure used to diagnose patients with osteoporosis. In clinical trials, change in BMD has been shown to provide a reliable estimate of fracture risk reduction, and achieved BMD T‐score has been shown to reflect the near‐term risk of fracture. We aimed to test the association between BMD T‐score and fracture risk in patients treated for osteoporosis in a real‐world setting. This retrospective, observational cohort study included Swedish females aged ≥55 years who had a total hip BMD measurement at one of three participating clinics. Patients were separated into two cohorts: bisphosphonate‐treated and bisphosphonate‐naïve prior to BMD measurement, stratified by age and prior nonvertebral fracture status. The primary outcome was cumulative incidence of clinical fractures within 24 months of BMD measurement, with other fracture types included as secondary outcomes. Associations between T‐score and fracture risk were estimated using proportional hazards regression and restricted cubic splines. A total of 15,395 patients were analyzed: 11,973 bisphosphonate‐naïve and 3422 bisphosphonate‐treated. In the 24 months following BMD measurement, 6.3% (95% confidence interval [CI], 5.9–6.7) of bisphosphonate‐naïve and 8.4% (95% CI, 7.5–9.4) of bisphosphonate‐treated patients experienced a clinical fracture. Strong inverse relationships between BMD T‐score and fracture incidence were observed in both cohorts. Among bisphosphonate‐naïve patients, this relationship appeared to plateau around T‐score −1.5, indicating smaller marginal reductions in fracture risk above this value; bisphosphonate‐treated patients showed a more consistent marginal change in fracture risk across the evaluated T‐scores (−3.0 to –0.5). Trends remained robust regardless of age and prior fracture status. This real‐world demonstration of a BMD–fracture risk association in both bisphosphonate‐naïve and bisphosphonate‐treated patients extends evidence from clinical trials and recent meta‐regressions supporting the suitability of total hip BMD as a meaningful outcome for the clinical management of patients with osteoporosis. © 2021 The Authors. Journal of Bone and Mineral Research published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research (ASBMR). [ABSTRACT FROM AUTHOR]
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- 2022
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27. Preferred skeletal site for osteoporosis screening in high-risk populations
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Moayyeri, Alireza, Soltani, Akbar, Bahrami, Hossein, Sadatsafavi, Mohsen, Jalili, Mehdi, and Larijani, Bagher
- Published
- 2006
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- View/download PDF
28. Incidence and characteristics of falls leading to hip fracture in Iranian population
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Abolhassani, Farid, Moayyeri, Alireza, Naghavi, Mohsen, Soltani, Akbar, Larijani, Bagher, and Shalmani, Hamidreza Tavakoli
- Published
- 2006
- Full Text
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29. Improving Visualization and Interpretation of Metabolome-Wide Association Studies: An Application in a Population-Based Cohort Using Untargeted 1H NMR Metabolic Profiling
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Castagné, Raphaële, Boulangé, Claire Laurence, Karaman, Ibrahim, Campanella, Gianluca, Santos Ferreira, Diana L., Kaluarachchi, Manuja R., Lehne, Benjamin, Moayyeri, Alireza, Lewis, Matthew R., Spagou, Konstantina, Dona, Anthony C., Evangelos, Vangelis, Tracy, Russell, Greenland, Philip, Lindon, John C., Herrington, David, Ebbels, Timothy M. D., Elliott, Paul, Tzoulaki, Ioanna, and Chadeau-Hyam, Marc
- Subjects
Adult ,Aged, 80 and over ,Blood Glucose ,Male ,Proton Magnetic Resonance Spectroscopy ,metabolic profiling ,metabolome wide association study ,multiple testing correction ,Middle Aged ,Atherosclerosis ,molecular epidemiology ,Article ,high-throughput analysis ,Cohort Studies ,full resolution 1H NMR ,significance level ,Metabolome ,Humans ,Metabolomics ,MESA ,Female ,results visualization and prioritization ,Aged - Abstract
1H NMR spectroscopy of biofluids generates reproducible data allowing detection and quantification of small molecules in large population cohorts. Statistical models to analyze such data are now well-established, and the use of univariate metabolome wide association studies (MWAS) investigating the spectral features separately has emerged as a computationally efficient and interpretable alternative to multivariate models. The MWAS rely on the accurate estimation of a metabolome wide significance level (MWSL) to be applied to control the family wise error rate. Subsequent interpretation requires efficient visualization and formal feature annotation, which, in-turn, call for efficient prioritization of spectral variables of interest. Using human serum 1H NMR spectroscopic profiles from 3948 participants from the Multi-Ethnic Study of Atherosclerosis (MESA), we have performed a series of MWAS for serum levels of glucose. We first propose an extension of the conventional MWSL that yields stable estimates of the MWSL across the different model parameterizations and distributional features of the outcome. We propose both efficient visualization methods and a strategy based on subsampling and internal validation to prioritize the associations. Our work proposes and illustrates practical and scalable solutions to facilitate the implementation of the MWAS approach and improve interpretation in large cohort studies.
- Published
- 2017
30. Rare Variant Analysis of Human and Rodent Obesity Genes in Individuals with Severe Childhood Obesity
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Hendricks, Audrey E., Bochukova, Elena G., Marenne, Gaëlle, Keogh, Julia M., Atanassova, Neli, Bounds, Rebecca, Wheeler, Eleanor, Mistry, Vanisha, Henning, Elana, Körner, Antje, Muddyman, Dawn, McCarthy, Shane, Hinney, Anke, Hebebrand, Johannes, Scott, Robert A., Langenberg, Claudia, Wareham, Nick J., Surendran, Praveen, Howson, Joanna M M, Butterworth, Adam S., Danesh, John, Nordestgaard, Børge G., Nielsen, Sune F., Afzal, Shoaib, Papadia, Sofia, Ashford, Sofie, Garg, Sumedha, Millhauser, Glenn L., Palomino, Rafael I., Kwasniewska, Alexandra, Tachmazidou, Ioanna, O'Rahilly, Stephen, Zeggini, Eleftheria, Barroso, Inês, Farooqi, I. Sadaf, Benzeval, Michaela, Burton, Jonathan, Buck, Nicholas, Jäckle, Annette, Kumari, Meena, Laurie, Heather, Lynn, Peter, Pudney, Stephen, Rabe, Birgitta, Wolke, Dieter, Overvad, Kim, Tjønneland, Anne, Clavel-Chapelon, Francoise, Kaaks, Rudolf, Boeing, Heiner, Trichopoulou, Antonia, Ferrari, Pietro, Palli, Domenico, Krogha, Vittorio, Panico, Salvatore, Tuminoa, Rosario, Matullo, Giuseppe, Boer, Jolanda Ma, Van Der Schouw, Yvonne, Weiderpass, Elisabete, Quiros, J. Ramon, Sánchez, María José, Navarro, Carmen, Moreno-Iribas, Conchi, Arriola, Larraitz, Melander, Olle, Wennberg, Patrik, Key, Timothy J., Riboli, Elio, Al-Turki, Saeed, Anderson, Carl A, Anney, Richard, Antony, Dinu, Soler Artigas, María, Ayub, Muhammad, Bala, Senduran, Barrett, Jeffrey C, Beales, Phil, Bentham, Jamie, Bhattacharyaa, Shoumo, Birney, Ewan, Blackwooda, Douglas, Bobrow, Martin, Bolton, Patrick F., Boustred, Chris, Breen, Gerome, Calissanoa, Mattia, Carss, Keren, Charlton, Ruth, Chatterjee, Krishna, Chen, Lu, Ciampia, Antonio, Cirak, Sebahattin, Clapham, Peter, Clement, Gail, Coates, Guy, Coccaa, Massimiliano, Collier, David A, Cosgrove, Catherine, Coxa, Tony, Craddock, Nick, Crooks, Lucy, Curran, Sarah, Curtis, David, Daly, Allan, Danecek, Petr, Day, Ian N M, Day-Williams, Aaron G, Dominiczak, Anna, Down, Thomas, Du, Yuanping, Dunham, Ian, Durbin, Richard, Edkins, Sarah, Ekong, Rosemary, Ellis, Peter, Evansa, David M., FitzPatrick, David R., Flicek, Paul, Floyd, James S., Foley, A. Reghan, Franklin, Christopher S., Futema, Marta, Gallagher, Louise, Gaunt, Tom R., Geihs, Matthias, Geschwind, Daniel H., Greenwood, Celia M.T., Griffin, Heather, Grozeva, Detelina, Guo, Xiaosen, Guo, Xueqin, Gurling, Hugh, Hart, Deborah J., Holmans, Peter A, Howie, Bryan, Huang, Jie, Huang, Liren, Hubbard, Tim, Humphries, Steve E., Hurles, Matthew E., Hysi, Pirro G., Iotchkova, Valentina, Jackson, David K., Jamshidi, Yalda, Joyce, Chris, Karczewski, Konrad J., Kaye, Jane, Keane, Thomas, Kemp, John P., Kennedy, Karen, Kent, Alastair, Khawaja, Farrah, Van Kogelenberg, Margriet, Kolb-Kokocinski, Anja, Lachance, Genevieve, Langford, Cordelia, Lawson, Daniel, Lee, Irene, Lek, Monkol, Li, Rui, Li, Yingrui, Liang, Jieqin, Lin, Hong, Liu, Ryan, Lönnqvist, Jouko, Lopes, Luis R., Lopes, Margarida, MacArthur, Daniel G., Mangino, Massimo, Marchini, Jonathan, Maslen, John, Mathieson, Iain, McGuffin, Peter, McIntosh, Andrew M., McKechanie, Andrew G., McQuillin, Andrew, Memari, Yasin, Metrustry, Sarah, Migone, Nicola, Min, Josine L., Mitchison, Hannah M, Moayyeri, Alireza, Morris, Andrew D., Morris, James, Muntoni, Francesco, Northstone, Kate, O'Donovan, Michael C., Onoufriadis, Alexandros, Oualkacha, Karim, Owen, Michael J, Palotie, Aarno, Panoutsopoulou, Kalliope, Parker, Victoria, Parr, Jeremy R., Paternoster, Lavinia, Paunio, Tiina, Payne, Felicity, Payne, Stewart J., Perry, John R. B., Pietilainen, Olli, Plagnol, Vincent, Pollitt, Rebecca C., Porteous, David J., Povey, Sue, Quail, Michael A., Quaye, Lydia, Raymond, F. Lucy, Rehnström, Karola, Richards, J Brent, Ridout, Cheryl K., Ring, Susan M., Ritchie, Graham R.S., Roberts, Nicola, Robinson, Rachel L., Savage, David B., Scambler, Peter, Schiffels, Stephan, Schmidts, Miriam, Schoenmakers, Nadia, Scott, Richard H., Semple, Robert K., Serra, Eva, Sharp, Sally I., Shaw, Adam, Shihab, Hashem A., Shin, So Youn, Skuse, David, Small, Kerrin S, Smee, Carol, Smith, Blair H., Davey Smith, George, Soranzo, Nicole, Southam, Lorraine, Spasic-Boskovic, Olivera, Spector, Timothy D, St Clair, David, St Pourcain, Beate, Stalker, Jim, Stevens, Elizabeth, Sun, Jianping, Surdulescu, Gabriela L, Suvisaari, Jaana, Syrris, Petros, Taylor, Rohan, Tian, Jing, Timpson, Nicholas J., Tobin, Martin D, Valdes, Ana M., Vandersteen, Anthony M., Vijayarangakannan, Parthiban, Visscher, Peter M., Wain, Louise V., Walter, Klaudia, Walters, James T.R., Wang, Guangbiao, Wang, Jun, Wang, Nai-Yu, Ward, Kirsten, Whyte, Tamieka, Williams, Hywel J., Williamson, Kathleen A., Wilson, Crispian, Wilson, Scott G., Wong, Kim, Xu, Changjiang, Yang, Jian, Zhang, Feng, Zhang, Pingbo, Zheng, Hou Feng, Hendricks, Audrey E., Bochukova, Elena G., Marenne, Gaã«lle, Keogh, Julia M., Atanassova, Neli, Bounds, Rebecca, Wheeler, Eleanor, Mistry, Vanisha, Henning, Elana, Kã¶rner, Antje, Muddyman, Dawn, Mccarthy, Shane, Hinney, Anke, Hebebrand, Johanne, Scott, Robert A., Langenberg, Claudia, Wareham, Nick J., Surendran, Praveen, Howson, Joanna M., Butterworth, Adam S., Danesh, John, Nordestgaard, Bã¸rge G, Nielsen, Sune F, Afzal, Shoaib, Papadia, Sofia, Ashford, Sofie, Garg, Sumedha, Millhauser, Glenn L., Palomino, Rafael I., Kwasniewska, Alexandra, Tachmazidou, Ioanna, O'Rahilly, Stephen, Zeggini, Eleftheria, Barroso, Inãª, Farooqi, I. Sadaf, Benzeval, Michaela, Burton, Jonathan, Buck, Nichola, Jã¤ckle, Annette, Kumari, Meena, Laurie, Heather, Lynn, Peter, Pudney, Stephen, Rabe, Birgitta, Wolke, Dieter, Overvad, Kim, Tjã¸nneland, Anne, Clavel chapelon, Francoise, Kaaks, Rudolf, Boeing, Heiner, Trichopoulou, Antonia, Ferrari, Pietro, Palli, Domenico, Krogha, Vittorio, Panico, Salvatore, Tuminoa, Rosario, Matullo, Giuseppe, Boer, Jolanda, Van Der Schouw, Yvonne, Weiderpass, Elisabete, Quiros, J. Ramon, Sã¡nchez, Marãa josã©, Navarro, Carmen, Moreno iribas, Conchi, Arriola, Larraitz, Melander, Olle, Wennberg, Patrik, Key, Timothy J., Riboli, Elio, Turki, Saeed Al, Anderson, Carl A., Anney, Richard, Antony, Dinu, Soler Artigas, Marãa, Ayub, Muhammad, Bala, Senduran, Barrett, Jeffrey C., Beales, Phil, Bentham, Jamie, Bhattacharyaa, Shoumo, Birney, Ewan, Blackwooda, Dougla, Bobrow, Martin, Bolton, Patrick F., Boustred, Chri, Breen, Gerome, Calissanoa, Mattia, Carss, Keren, Charlton, Ruth, Chatterjee, Krishna, Chen, Lu, Ciampia, Antonio, Cirak, Sebahattin, Clapham, Peter, Clement, Gail, Coates, Guy, Coccaa, Massimiliano, Collier, David A., Cosgrove, Catherine, Coxa, Tony, Craddock, Nick, Crooks, Lucy, Curran, Sarah, Curtis, David, Daly, Allan, Danecek, Petr, Day, Ian N. M., Day williams, Aaron, Dominiczak, Anna, Down, Thoma, Du, Yuanping, Dunham, Ian, Durbin, Richard, Edkins, Sarah, Ekong, Rosemary, Ellis, Peter, Evansa, David M., Fitzpatrick, David R., Flicek, Paul, Floyd, Jame, Foley, A. Reghan, Franklin, Christopher S., Futema, Marta, Gallagher, Louise, Gaunt, Tom R., Geihs, Matthia, Geschwind, Daniel, Greenwood, Celia M. T., Griffin, Heather, Grozeva, Detelina, Guo, Xiaosen, Guo, Xueqin, Gurling, Hugh, Hart, Deborah, Holmans, Peter, Howie, Bryan, Huang, Jie, Huang, Liren, Hubbard, Tim, Humphries, Steve E., Hurles, Matthew E., Hysi, Pirro, Iotchkova, Valentina, Jackson, David K., Jamshidi, Yalda, Joyce, Chri, Karczewski, Konrad J., Kaye, Jane, Keane, Thoma, Kemp, John P., Kennedy, Karen, Kent, Alastair, Khawaja, Farrah, Van Kogelenberg, Margriet, Kolb kokocinski, Anja, Lachance, Genevieve, Langford, Cordelia, Lawson, Daniel, Lee, Irene, Lek, Monkol, Li, Rui, Li, Yingrui, Liang, Jieqin, Lin, Hong, Liu, Ryan, Lã¶nnqvist, Jouko, Lopes, Luis R., Lopes, Margarida, Macarthur, Daniel G., Mangino, Massimo, Marchini, Jonathan, Maslen, John, Mathieson, Iain, Mcguffin, Peter, Mcintosh, Andrew M., Mckechanie, Andrew G., Mcquillin, Andrew, Memari, Yasin, Metrustry, Sarah, Migone, Nicola, Min, Josine L., Mitchison, Hannah M., Moayyeri, Alireza, Morris, Andrew, Morris, Jame, Muntoni, Francesco, Northstone, Kate, O'Donovan, Michael C., Onoufriadis, Alexandro, Oualkacha, Karim, Owen, Michael J., Palotie, Aarno, Panoutsopoulou, Kalliope, Parker, Victoria, Parr, Jeremy R., Paternoster, Lavinia, Paunio, Tiina, Payne, Felicity, Payne, Stewart J., Perry, John R. B., Pietilainen, Olli, Plagnol, Vincent, Pollitt, Rebecca C., Porteous, David J., Povey, Sue, Quail, Michael A., Quaye, Lydia, Raymond, F. Lucy, Rehnstrã¶m, Karola, Richards, J. Brent, Ridout, Cheryl K., Ring, Susan, Ritchie, Graham R. S., Roberts, Nicola, Robinson, Rachel L., Savage, David B., Scambler, Peter, Schiffels, Stephan, Schmidts, Miriam, Schoenmakers, Nadia, Scott, Richard H., Semple, Robert K., Serra, Eva, Sharp, Sally I., Shaw, Adam, Shihab, Hashem A., Shin, So youn, Skuse, David, Small, Kerrin S., Smee, Carol, Smith, Blair H., Davey Smith, George, Soranzo, Nicole, Southam, Lorraine, Spasic boskovic, Olivera, Spector, Timothy D., St Clair, David, St Pourcain, Beate, Stalker, Jim, Stevens, Elizabeth, Sun, Jianping, Surdulescu, Gabriela, Suvisaari, Jaana, Syrris, Petro, Taylor, Rohan, Tian, Jing, Timpson, Nicholas J., Tobin, Martin D., Valdes, Ana M., Vandersteen, Anthony M., Vijayarangakannan, Parthiban, Visscher, Peter M., Wain, Louise V., Walter, Klaudia, Walters, James T. R., Wang, Guangbiao, Wang, Jun, Wang, Yu, Ward, Kirsten, Whyte, Tamieka, Williams, Hywel J., Williamson, Kathleen A., Wilson, Crispian, Wilson, Scott G., Wong, Kim, Xu, Changjiang, Yang, Jian, Zhang, Feng, Zhang, Pingbo, and Zheng, Hou feng
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Multidisciplinary ,Journal Article ,General - Abstract
Obesity is a genetically heterogeneous disorder. Using targeted and whole-exome sequencing, we studied 32 human and 87 rodent obesity genes in 2,548 severely obese children and 1,117 controls. We identified 52 variants contributing to obesity in 2% of cases including multiple novel variants in GNAS, which were sometimes found with accelerated growth rather than short stature as describedw previously. Nominally significant associations were found for rare functional variants in BBS1, BBS9, GNAS, MKKS, CLOCK and ANGPTL6. The p.S284X variant in ANGPTL6 drives the association signal (rs201622589, MAF∼0.1%, odds ratio = 10.13, p-value = 0.042) and results in complete loss of secretion in cells. Further analysis including additional case-control studies and population controls (N = 260,642) did not support association of this variant with obesity (odds ratio = 2.34, p-value = 2.59 × 10-3), highlighting the challenges of testing rare variant associations and the need for very large sample sizes. Further validation in cohorts with severe obesity and engineering the variants in model organisms will be needed to explore whether human variants in ANGPTL6 and other genes that lead to obesity when deleted in mice, do contribute to obesity. Such studies may yield druggable targets for weight loss therapies.
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- 2017
31. Hypocalcemia as a Presentation for Multifocal Osteosarcoma
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Soltani, Akbar, Hasani-Ranjbar, Shirin, and Moayyeri, Alireza
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- 2008
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32. Steroid receptor coactivator-1 modulates the function of Pomc neurons and energy homeostasis
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Yang, Yongjie, van der Klaauw, Agatha A., Zhu, Liangru, Cacciottolo, Tessa M., He, Yanlin, Stadler, Lukas K. J., Wang, Chunmei, Xu, Pingwen, Saito, Kenji, Hinton, Antentor, Yan, Xiaofeng, Keogh, Julia M., Henning, Elana, Banton, Matthew C., Hendricks, Audrey E., Bochukova, Elena G., Mistry, Vanisha, Lawler, Katherine L., Liao, Lan, Xu, Jianming, O'Rahilly, Stephen, Tong, Qingchun, Barroso, Ines, O'Malley, Bert W., Farooqi, I. Sadaf, Xu, Yong, Balasubramanian, Senduran, Clapham, Peter, Coates, Guy, Cox, Tony, Daly, Allan, Danecek, Petr, Du, Yuanping, Durbin, Richard, Edkins, Sarah, Ellis, Peter, Flicek, Paul, Guo, Xiaosen, Guo, Xueqin, Huang, Liren, Jackson, David K., Joyce, Chris, Keane, Thomas, Kolb-Kokocinski, Anja, Langford, Cordelia, Li, Yingrui, Liang, Jieqin, Lin, Hong, Liu, Ryan, Maslen, John, McCarthy, Shane, Muddyman, Dawn, Quail, Michael A., Stalker, Jim, Sun, Jianping, Tian, Jing, Wang, Guangbiao, Wang, Jun, Wang, Yu, Wong, Kim, Zhang, Pingbo, Birney, Ewan, Boustred, Chris, Brion, Marie-Jo, Chen, Lu, Clement, Gail, Smith, George Davey, Day, Ian N. M., Day-Williams, Aaron, Down, Thomas, Dunham, Ian, Evans, David M., Fatemifar, Ghazaleh, Gaunt, Tom R., Geihs, Matthias, Greenwood, Celia M. T., Hart, Deborah, Howie, Bryan, Huang, Jie, Hubbard, Tim, Hysi, Pirro, Iotchkova, Valentina, Jamshidi, Yalda, Kemp, John P., Lachance, Genevieve, Lawson, Daniel, Lek, Monkol, Lopes, Margarida, MacArthur, Daniel G., Marchini, Jonathan, Massimo, Mangino, Mathieson, Iain, Memari, Yasin, Metrustry, Sarah, Min, Josine L., Moayyeri, Alireza, Northstone, Kate, Panoutsopoulou, Kalliope, Paternoster, Lavinia, Perry, John R. B., Quaye, Lydia, Richards, J. Brent, Ring, Susan, Ritchie, Graham R. S., Schiffels, Stephan, Shihab, Hashem A., Shin, So-Youn, Small, Kerrin S., Artigas, Maria Soler, Soranzo, Nicole, Southam, Lorraine, Spector, Timothy D., St Pourcain, Beate, Surdulescu, Gabriela, Tachmazidou, Ioanna, Timpson, Nicholas J., Tobin, Martin D., Valdes, Ana M., Visscher, Peter M., Wain, Louise V., Walter, Klaudia, Ward, Kirsten, Wilson, Scott G., Yang, Jian, Zeggini, Eleftheria, Zhang, Feng, Zheng, Hou-Feng, Anney, Richard, Ayub, Muhammad, Barrett, Jeffrey C., Blackwood, Douglas, Bolton, Patrick F., Breen, Gerome, Collier, David A., Craddock, Nick, Crooks, Lucy, Curran, Sarah, Curtis, David, Gallagher, Louise, Geschwind, Daniel, Gurling, Hugh, Holmans, Peter, Lee, Irene, Lonnqvist, Jouko, McGuffin, Peter, McIntosh, Andrew M., McKechanie, Andrew G., McQuillin, Andrew, Morris, James, O'Donovan, Michael C., Owen, Michael J., Palotie, Aarno, Parr, Jeremy R., Paunio, Tiina, Pietilainen, Olli, Rehnstrom, Karola, Sharp, Sally I., Skuse, David, St Clair, David, Suvisaari, Jaana, Walters, James T. R., Williams, Hywel J., Bochukova, Elena, Bounds, Rebecca, Dominiczak, Anna, Keogh, Julia, Marenne, Gaelle, Morris, Andrew, Porteous, David J., Smith, Blair H., Wheeler, Eleanor, Al Turki, Saeed, Anderson, Carl A., Antony, Dinu, Beales, Phil, Bentham, Jamie, Bhattacharya, Shoumo, Calissano, Mattia, Carss, Keren, Chatterjee, Krishna, Cirak, Sebahattin, Cosgrove, Catherine, Fitzpatrick, David R., Floyd, James, Foley, A. Reghan, Franklin, Christopher S., Futema, Marta, Grozeva, Detelina, Humphries, Steve E., Hurles, Matthew E., Mitchison, Hannah M., Muntoni, Francesco, Onoufriadis, Alexandros, Parker, Victoria, Payne, Felicity, Plagnol, Vincent, Raymond, F. Lucy, Roberts, Nicola, Savage, David B., Scambler, Peter, Schmidts, Miriam, Schoenmakers, Nadia, Semple, Robert K., Serra, Eva, Spasic-Boskovic, Olivera, Stevens, Elizabeth, van Kogelenberg, Margriet, Vijayarangakannan, Parthiban, Williamson, Kathleen A., Wilson, Crispian, Whyte, Tamieka, Ciampi, Antonio, Li, Rui, Oualkacha, Karim, Xu, ChangJiang, Bobrow, Martin, Griffin, Heather, Kaye, Jane, Kennedy, Karen, Kent, Alastair, Smee, Carol, Charlton, Ruth, Ekong, Rosemary, Khawaja, Farrah, Lopes, Luis R., Migone, Nicola, Payne, Stewart J., Pollitt, Rebecca C., Povey, Sue, Ridout, Cheryl K., Robinson, Rachel L., Scott, Richard H., Shaw, Adam, Syrris, Petros, Taylor, Rohan, Vandersteen, Anthony M., Amuzu, Antoinette, Casas, Juan Pablo, Chambers, John C., Cocca, Massimiliano, Dedoussis, George, Gambaro, Giovanni, Gasparini, Paolo, Isaacs, Aaron, Johnson, Jon, Kleber, Marcus E., Kooner, Jaspal S., Langenberg, Claudia, Luan, Jian'an, Malerba, Giovanni, Marz, Winfried, Matchan, Angela, Morris, Richard, Nordestgaard, Børge G., Benn, Marianne, Scott, Robert A., Toniolo, Daniela, Traglia, Michela, Tybjaerg-Hansen, Anne, van Duijn, Cornelia M., van Leeuwen, Elisabeth M., Varbo, Anette, Whincup, Peter, Zaza, Gianluigi, and Zhang, Weihua
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- 2019
33. Deterministic versus evidence-based attitude towards clinical diagnosis
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Soltani, Akbar and Moayyeri, Alireza
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- 2007
34. Obesity and associated cardiovascular risk factors in Iranian children: A cross-sectional study
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HAMIDI, ANAHITA, FAKHRZADEH, HOSSEIN, MOAYYERI, ALIREZA, POUREBRAHIM, RASSUL, HESHMAT, RAMIN, NOORI, MASOUMEH, REZAEIKHAH, YALDA, and LARIJANI, BAGHER
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- 2006
35. Serum leptin levels and severity of obesity in Iranian Children
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Moayyeri, Alireza, Ghodsi, Maryam, Fakhrzadeh, Hossein, and Larijani, Bagher
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- 2005
36. Effects of Indomethacin on Viral Replication Markers in Asymptomatic Carriers of Hepatitis B: A Randomized, Placebo-Controlled Trial
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Bahrami, Hossein, Daryani, Nasser E., Haghpanah, Babak, Moayyeri, Alireza, Moghadam, Katayoon Fayaz, Mirmomen, Shahram, and Kamangar, Farin
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- 2005
37. Clinical course of ulcerative colitis in patients with and without primary sclerosing cholangitis
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MOAYYERI, ALIREZA, DARYANI, NASER EBRAHIMI, BAHRAMI, HOSSEIN, HAGHPANAH, BABAK, NAYYER-HABIBI, ATOOSA, and SADATSAFAVI, MOHSEN
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- 2005
38. Evidence based medicine: does it make a difference?: ...as may be a top down approach
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Moayyeri, Alireza and Soltani, Akbar
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- 2005
39. Improving visualisation and interpretation of metabolome-wide association studies (MWAS):an application in a population based cohort using untargeted 1H NMR metabolic profiling
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Castagné, Raphaële, Boulangé, Claire Laurence, Karaman, Ibrahim, Campanella, Gianluca, Dos Santos Ferreira, Diana, Kaluarachchi, Manuja R., Lehne, Benjamin, Moayyeri, Alireza, Lewis, Matthew R., Spagou, Konstantina, Dona, Anthony C., Evangelos, Vangelis, Tracy, Russell, Greenland, Philip, Lindon, John C., Herrington, David, Ebbels, Timothy M. D., Elliott, Paul, Tzoulaki, Joanna, and Chadeau-Hyam, Marc
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metabolome-wide association studies ,MWAS ,Epidemiology ,metabolomics ,untargeted ,NUCLEAR MAGNETIC-RESONANCE - Abstract
1H nuclear magnetic resonance (NMR) spectroscopy of biofluids generates reproducible data allowing detection and quantification of small molecules in large population cohorts.Statistical models to analyse such data are now well-established, and the use of univariate metabolome wide association studies (MWAS) investigating the spectral features separately has emerged as a computationally efficient and interpretable alternative to multivariate models. The MWAS relies on the accurate estimation of a metabolome wide significance level (MWSL) to be applied to control the family-wise error rate. Subsequent interpretation requires efficient visualization and formal feature annotation, which, in-turn, calls for efficient prioritisation of spectral variables of interest.Using human serum 1H NMR spectroscopic profiles from 3,948 participants from the Multi-Ethnic Study of Atherosclerosis (MESA), we have performed a series of MWAS for serum levels of glucose. We first propose an extension of the conventional MWSL that yields stable estimates of the MWSL across the different model parametrisations and distributional features of the outcome. We propose both efficient visualisation methods, and a strategy based on subsampling and internal validation to prioritize the associations. Our work proposes and illustrates practical and scalable solutions to facilitate the implementation of the MWAS approach and improve interpretation in large cohort studies.
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- 2017
40. Discordance in diagnosis of osteoporosis using spine and hip bone densitometry
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Sadatsafavi Mohsen, Tabari Nasibeh, Soltani Akbar, Moayyeri Alireza, Hossein-neghad Arash, and Larijani Bagher
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Diseases of the endocrine glands. Clinical endocrinology ,RC648-665 - Abstract
Abstract Background Diagnostic discordance for osteoporosis is the observation that the T-score of an individual patient varies from one key measurement site to another, falling into two different diagnostic categories identified by the World Health Organization (WHO) classification system. This study was conducted to evaluate the presence and risk factors for this phenomenon in a large sample of Iranian population. Methods Demographic data, anthropometric measurements, and risk factors for osteoporosis were derived from a database on 4229 patients referred to a community-based outpatient osteoporosis testing center from 2000 to 2003. Dual-energy X-ray absorptiometry (DXA) was performed on L1–L4 lumbar spine and total hip for all cases. Minor discordance was defined as present when the difference between two sites was no more than one WHO diagnostic class. Major discordance was present when one site is osteoporotic and the other is normal. Subjects with incomplete data were excluded. Results In 4188 participants (3848 female, mean age 53.4 ± 11.8 years), major discordance, minor discordance, and concordance of T-scores were seen in 2.7%, 38.9% and 58.3%, respectively. In multivariate logistic regression analysis, older age, menopause, obesity, and belated menopause were recognized as risk factors and hormone replacement therapy as a protective factor against T-score discordance. Conclusion The high prevalence of T-score discordance may lead to problems in interpretation of the densitometry results for some patients. This phenomenon should be regarded as a real and prevalent finding and physicians should develop a particular strategy approaching to these patients.
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- 2005
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41. Frequency of myasthenic crisis in relation to thymectomy in generalized myasthenia gravis: A 17-year experience
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Shalmani Hamidreza, Sadatsafavi Mohsen, Akhondzadeh Shahin, Moayyeri Alireza, Soleimani Ali, and Soltanzadeh Akbar
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Neurology. Diseases of the nervous system ,RC346-429 - Abstract
Abstract Background Myasthenic crisis is the most serious life-threatening event in generalized myasthenia gravis (MG) patients. The objective of this study was to assess the long-term impact of thymectomy on rate and severity of these attacks in Iranian patients. Methods We reviewed the clinical records from 272 myasthenic patients diagnosed and treated in our neurology clinic during 1985 to 2002. Fifty-three patients were excluded because of unconfirmed diagnosis, ocular form of MG, contraindication to surgery, concomitant diseases and loss to follow-up. The Osserman classification was used to assess the initial severity of the disease. Frequency and severity of the attacks were compared between two groups with appropriate statistical tests according to the nature of variables. Multivariate logistic regression analysis was used to assess the predictors of myasthenic crisis in the group of patients without thymoma. Results 110 patients were in thymectomy group and the other 109 patients were on medical therapy. These two groups had no significant differences with respect to age at onset, gender, Osserman score in baseline and follow up period. 62 patients (28.3% of all 219 patients) had reported 89 attacks of myasthenic crisis. 20 patients of 62 (32%) were in thymectomy group and 42 (68%) were in the other group. There was significant difference between the two groups in number of patients with crisis (P = 0.001; odds ratio = 2.8 with 95% CI of 1.5 to 5.2). In addition, these attacks were more severe in group of non-thymectomized patients as the duration of ICU admission was longer and they needed more ventilatory support during their attacks. Regression model showed thymectomy and lower age at onset as two predictors of decrement in myasthenic crisis rate in non-thymomatous MG patients. Conclusions It is suggested that frequency and severity of myasthenic attacks as important endpoints in evaluation of MG patients. Thymectomy seems to have a preventive role on rate and severity of these attacks.
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- 2004
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42. Personalising the decision for prolonged dual antiplatelet therapy: Development, validation and potential impact of prognostic models for cardiovascular events and bleeding in myocardial infarction survivors
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Pasea, Laura, Chung, Sheng-Chia, Pujades-Rodriguez, Mar, Moayyeri, Alireza, Denaxas, Spiros, Fox, Keith AA, Wallentin, Lars, Pocock, Stuart J, Timmis, Adam, Banerjee, Amitava, Patel, Riyaz, and Hemingway, Harry
- Abstract
Aims: The aim of this study is to develop models to aid the decision to prolong dual antiplatelet therapy (DAPT) that requires balancing an individual patient's potential benefits and harms. Methods and results: Using population-based electronic health records (EHRs) (CALIBER, England, 2000-10), of patients evaluated 1 year after acute myocardial infarction (MI), we developed (n = 12 694 patients) and validated (n = 5613) prognostic models for cardiovascular (cardiovascular death, MI or stroke) events and three different bleeding endpoints. We applied trial effect estimates to determine potential benefits and harms of DAPT and the net clinical benefit of individuals. Prognostic models for cardiovascular events (c-index: 0.75 (95% CI: 0.74, 0.77)) and bleeding (c index 0.72 (95% CI: 0.67, 0.77)) were well calibrated: 3-year risk of cardiovascular events was 16.5% overall (5.2% in the lowest- and 46.7% in the highest-risk individuals), while for major bleeding, it was 1.7% (0.3% in the lowest- and 5.4% in the highest-risk patients). For every 10 000 patients treated per year, we estimated 249 (95% CI: 228, 269) cardiovascular events prevented and 134 (95% CI: 87, 181) major bleeding events caused in the highest-risk patients, and 28 (95% CI: 19, 37) cardiovascular events prevented and 9 (95% CI: 0, 20) major bleeding events caused in the lowest-risk patients. There was a net clinical benefit of prolonged DAPT in 63-99% patients depending on how benefits and harms were weighted. Conclusion: Prognostic models for cardiovascular events and bleeding using population-based EHRs may help to personalise decisions for prolonged DAPT 1-year following acute MI.
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- 2017
43. Personalising the decision for prolonged dual antiplatelet therapy : development, validation and potential impact of prognosticmodels for cardiovascular events and bleeding in myocardial infarction survivors
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Pasea, Laura, Chung, Sheng-Chia, Pujades-Rodriguez, Mar, Moayyeri, Alireza, Denaxas, Spiros, Fox, Keith A A, Wallentin, Lars, Pocock, Stuart J, Timmis, Adam, Banerjee, Amitava, Patel, Riyaz, and Hemingway, Harry
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Myocardial infarction ,Kardiologi ,Bleeding ,Journal Article ,Cardiac and Cardiovascular Systems ,Prognosis - Abstract
Aims: The aim of this study is to develop models to aid the decision to prolong dual antiplatelet therapy (DAPT) that requires balancing an individual patient's potential benefits and harms.Methods and results: Using population-based electronic health records (EHRs) (CALIBER, England, 2000-10), of patients evaluated 1 year after acute myocardial infarction (MI), we developed (n = 12 694 patients) and validated (n = 5613) prognostic models for cardiovascular (cardiovascular death, MI or stroke) events and three different bleeding endpoints. We applied trial effect estimates to determine potential benefits and harms of DAPT and the net clinical benefit of individuals. Prognostic models for cardiovascular events (c-index: 0.75 (95% CI: 0.74, 0.77)) and bleeding (c index 0.72 (95% CI: 0.67, 0.77)) were well calibrated: 3-year risk of cardiovascular events was 16.5% overall (5.2% in the lowest- and 46.7% in the highest-risk individuals), while for major bleeding, it was 1.7% (0.3% in the lowest- and 5.4% in the highest-risk patients). For every 10 000 patients treated per year, we estimated 249 (95% CI: 228, 269) cardiovascular events prevented and 134 (95% CI: 87, 181) major bleeding events caused in the highest-risk patients, and 28 (95% CI: 19, 37) cardiovascular events prevented and 9 (95% CI: 0, 20) major bleeding events caused in the lowest-risk patients. There was a net clinical benefit of prolonged DAPT in 63-99% patients depending on how benefits and harms were weighted.Conclusion: Prognostic models for cardiovascular events and bleeding using population-based EHRs may help to personalise decisions for prolonged DAPT 1-year following acute MI.
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- 2017
44. Serum metabolic signatures of coronary and carotid atherosclerosis and subsequent cardiovascular disease.
- Author
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Tzoulaki, Ioanna, Castagné, Raphaële, Boulangé, Claire L, Karaman, Ibrahim, Chekmeneva, Elena, Evangelou, Evangelos, Ebbels, Timothy M D, Kaluarachchi, Manuja R, Chadeau-Hyam, Marc, Mosen, David, Dehghan, Abbas, Moayyeri, Alireza, Ferreira, Diana L Santos, Guo, Xiuqing, Rotter, Jerome I, Taylor, Kent D, Kavousi, Maryam, Vries, Paul S de, Lehne, Benjamin, and Loh, Marie
- Abstract
Aims To characterize serum metabolic signatures associated with atherosclerosis in the coronary or carotid arteries and subsequently their association with incident cardiovascular disease (CVD). Methods and results We used untargeted one-dimensional (1D) serum metabolic profiling by proton nuclear magnetic resonance spectroscopy (
1 H NMR) among 3867 participants from the Multi-Ethnic Study of Atherosclerosis (MESA), with replication among 3569 participants from the Rotterdam and LOLIPOP studies. Atherosclerosis was assessed by coronary artery calcium (CAC) and carotid intima-media thickness (IMT). We used multivariable linear regression to evaluate associations between NMR features and atherosclerosis accounting for multiplicity of comparisons. We then examined associations between metabolites associated with atherosclerosis and incident CVD available in MESA and Rotterdam and explored molecular networks through bioinformatics analyses. Overall, 301 H NMR measured metabolites were associated with CAC and/or IMT, P = 1.3 × 10−14 to 1.0 × 10−6 (discovery) and P = 5.6 × 10−10 to 1.1 × 10−2 (replication). These associations were substantially attenuated after adjustment for conventional cardiovascular risk factors. Metabolites associated with atherosclerosis revealed disturbances in lipid and carbohydrate metabolism, branched chain, and aromatic amino acid metabolism, as well as oxidative stress and inflammatory pathways. Analyses of incident CVD events showed inverse associations with creatine, creatinine, and phenylalanine, and direct associations with mannose, acetaminophen-glucuronide, and lactate as well as apolipoprotein B (P < 0.05). Conclusion Metabolites associated with atherosclerosis were largely consistent between the two vascular beds (coronary and carotid arteries) and predominantly tag pathways that overlap with the known cardiovascular risk factors. We present an integrated systems network that highlights a series of inter-connected pathways underlying atherosclerosis. Open in new tab Download slide Open in new tab Download slide [ABSTRACT FROM AUTHOR]- Published
- 2019
- Full Text
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45. Genetic sharing with cardiovascular disease risk factors and diabetes reveals novel bone mineral density loci
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Reppe, Sjur, Wang, Yunpeng, Thompson, Wesley K., McEvoy, Linda K., Schork, Andrew J., Zuber, Verena, LeBlanc, Marissa, Bettella, Francesco, Mills, Ian G., Desikan, Rahul S., Djurovic, Srdjan, Gautvik, Kaare M., Dale, Anders M., Andreassen, Ole A., Estrada, Karol, Styrkarsdottir, Unnur, Evangelou, Evangelos, Hsu, Yi Hsiang, Duncan, Emma L., Ntzani, Evangelia E., Oei, Ling, Albagha, Omar M.E., Amin, Najaf, Kemp, John P., Koller, Daniel L., Li, Guo, Liu, Ching Ti, Minster, Ryan L., Moayyeri, Alireza, Vandenput, Liesbeth, Willner, Dana, Xiao, Su Mei, Yerges-Armstrong, Laura M., Zheng, Hou Feng, Alonso, Nerea, Eriksson, Joel, Kammerer, Candace M., Kaptoge, Stephen K., Leo, Paul J., Thorleifsson, Gudmar, Wilson, Scott G., Wilson, James F., Aalto, Ville, Alen, Markku, Aragaki, Aaron K., Aspelund, Thor, Center, Jacqueline R., Dailiana, Zoe, Duggan, David J., Garcia, Melissa, Garcia-Giralt, Natàlia, Giroux, Sylvie, Hallmans, Göran, Hocking, Lynne J., Husted, Lise Bjerre, Jameson, Karen A., Khusainova, Rita, Kim, Ghi Su, Kooperberg, Charles, Koromila, Theodora, Kruk, Marcin, Laaksonen, Marika, Lacroix, Andrea Z., Lee, Seung Hun, Leung, Ping C., Lewis, Joshua R., Masi, Laura, Mencej-Bedrac, Simona, Nguyen, Tuan V., Nogues, Xavier, Patel, Millan S., Prezelj, Janez, Rose, Lynda M., Scollen, Serena, Siggeirsdottir, Kristin, Smith, Albert V., Svensson, Olle, Trompet, Stella, Trummer, Olivia, Van Schoor, Natasja M., Woo, Jean, Zhu, Kun, Balcells, Susana, Brandi, Maria Luisa, Buckley, Brendan M., Cheng, Sulin, Christiansen, Claus, Cooper, Cyrus, Dedoussis, George, Ford, Ian, Frost, Morten, Goltzman, David, González-Macías, Jesús, Kähönen, Mika, Karlsson, Magnus, Khusnutdinova, Elza, Koh, Jung Min, Kollia, Panagoula, Langdahl, Bente Lomholt, Leslie, William D., Lips, Paul, Ljunggren, Östen, Lorenc, Roman S., Marc, Janja, Mellström, Dan, Obermayer-Pietsch, Barbara, Olmos, José M., Pettersson-Kymmer, Ulrika, Reid, David M., Riancho, José A., Ridker, Paul M., Rousseau, François, Slagboom, P. Eline, Tang, Nelson L.S., Urreizti, Roser, Van Hul, Wim, Viikari, Jorma, Zarrabeitia, María T., Aulchenko, Yurii S., Castano-Betancourt, Martha, Grundberg, Elin, Herrera, Lizbeth, Ingvarsson, Thorvaldur, Johannsdottir, Hrefna, Kwan, Tony, Li, Rui, Luben, Robert, Medina-Gómez, Carolina, Palsson, Stefan Th, Rotter, Jerome I., Sigurdsson, Gunnar, Van Meurs, Joyce B.J., Verlaan, Dominique, Williams, Frances M.K., Wood, Andrew R., Zhou, Yanhua, Pastinen, Tomi, Raychaudhuri, Soumya, Cauley, Jane A., Chasman, Daniel I., Clark, Graeme R., Cummings, Steven R., Danoy, Patrick, Dennison, Elaine M., Eastell, Richard, Eisman, John A., Gudnason, Vilmundur, Hofman, Albert, Jackson, Rebecca D., Jones, Graeme, Jukema, J. Wouter, Khaw, Kay Tee, Lehtimäki, Terho, Liu, Yongmei, Lorentzon, Mattias, McCloskey, Eugene, Mitchell, Braxton D., Nandakumar, Kannabiran, Nicholson, Geoffrey C., Oostra, Ben A., Peacock, Munro, Pols, Huibert A.P., Prince, Richard L., Raitakari, Olli, Reid, Ian R., Robbins, John, Sambrook, Philip N., Sham, Pak Chung, Shuldiner, Alan R., Tylavsky, Frances A., Van Duijn, Cornelia M., Wareham, Nick J., Cupples, L. Adrienne, Econs, Michael J., Evans, David M., Harris, Tamara B., Kung, Annie Wai Chee, Psaty, Bruce M., Reeve, Jonathan, Spector, Timothy D., Streeten, Elizabeth A., Zillikens, M. Carola, Thorsteinsdottir, Unnur, Ohlsson, Claes, Karasik, David, Richards, J. Brent, Brown, Matthew A., Stefansson, Kari, Uitterlinden, André G., Ralston, Stuart H., Ioannidis, John P.A., Kiel, Douglas P., Rivadeneira, Fernando, Epidemiology and Data Science, EMGO - Musculoskeletal health, and Internal medicine
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musculoskeletal diseases - Abstract
Bone Mineral Density (BMD) is a highly heritable trait, but genome-wide association studies have identified few genetic risk factors. Epidemiological studies suggest associations between BMD and several traits and diseases, but the nature of the suggestive comorbidity is still unknown. We used a novel genetic pleiotropy-informed conditional False Discovery Rate (FDR) method to identify single nucleotide polymorphisms (SNPs) associated with BMD by leveraging cardiovascular disease (CVD) associated disorders and metabolic traits. By conditioning on SNPs associated with the CVD-related phenotypes, type 1 diabetes, type 2 diabetes, systolic blood pressure, diastolic blood pressure, high density lipoprotein, low density lipoprotein, triglycerides and waist hip ratio, we identified 65 novel independent BMD loci (26 with femoral neck BMD and 47 with lumbar spine BMD) at conditional FDR < 0.01. Many of the loci were confirmed in genetic expression studies. Genes validated at the mRNA levels were characteristic for the osteoblast/osteocyte lineage, Wnt signaling pathway and bone metabolism. The results provide new insight into genetic mechanisms of variability in BMD, and a better understanding of the genetic underpinnings of clinical comorbidity.
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- 2015
46. A large-scale whole genome sequence-based analysis discovered novel genetic variants influencing bone mineral density: Results from the GEFOS and UK10K Consortia
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Zheng, Hou-Feng, Forgetta, Vince, Hsu, Yi-Hsiang, Estrada, Karol, Leo, Paul, Tobias, Jonathan, Kooperberg, Charles, Liu, Ching-Ti, Rosello-Diez, Alberto, Evans, Daniel, Nielson, Carrie, Pettersson-Kymmer, Ulrika, Eriksson, Joel, Kwan, Tony, Walter, Klaudia, Memari, Yasin, Mccarthy, Shane, Min, Josine, Huang, Jie, Danecek, Petr, Wilmot, Beth, Li, Rui, Chou, Wen-Chi, Mokry, Lauren, Moayyeri, Alireza, Claussnitzer, Melina, Cheng, Chia-Ho, Cheung, Warren, Medina-Gomez, Carolina, Ge, Bing, Chen, Shu-Huang, Choi, Kwangbom, Oei, Ling, Fraser, James, Kraaij, Robert, Hibbs, Matthew, Gregson, Celia, Paquette, Denis, Hofman, Albert, Wibom, Carl, Marshall, Mhairi, Gardiner, Brooke, Auer, Paul, Hsu, Li, Ring, Sue, Velde, Nathalie, Melin, Beatrice, Kemp, John, Sayers, Adrian, Zhou, Yanhua, Calderari, Sophie, Maurano, Matthew, Rooij, Jeroen, Carlson, Chris, Peters, Ulrike, Berlivet, Soizik, Dostie, Josee, Claes Ohlsson, Uitterlinden, Andre, Goltzman, David, Pastinen, Tomi, Grundberg, Elin, Gauguier, Dominique, Orwoll, Eric, Karasik, David, Dahia, Chitra, Davey-Smith, George, Timpson, Nicholas, Soranzo, Nicole, Durbin, Richard, Wilson, Scott, Brown, Matthew, Spector, Tim, Cupples, L. Adrienne, Greenwood, Celia, Loomis, Cynthia, Ackert-Bicknell, Cheryl, Joyner, Alexandra, Jackson, Rebecca, Duncan, Emma, Evans, David, Rivadeneira, Fernando, Kiel, Douglas, Richards, Brent, McGill University = Université McGill [Montréal, Canada], Harvard Medical School [Boston] (HMS), Massachusetts General Hospital [Boston], Diamantina Institute, University of Queensland [Brisbane], University of Bristol [Bristol], Fred Hutchinson Cancer Research Center [Seattle] (FHCRC), School of public health, The University of Hong Kong (HKU), Memorial Sloan Kettering Cancer Center, The University of Texas M.D. Anderson Cancer Center [Houston], California Pacific Medical Center Research Institute, Oregon Health & Science University, Clinical Pharmacology, University of Gothenburg (GU), Genome Québec, The Wellcome Trust Sanger Institute [Cambridge], Hebrew SeniorLife [Boston], King‘s College London, Erasmus University Rotterdam, The Jackson Laboratory [Bar Harbor] (JAX), Umeå University, University of Wisconsin-Madison, Boston University School of Medicine (BUSM), Boston University [Boston] (BU), Centre de Recherche des Cordeliers (CRC (UMR_S_1138 / U1138)), École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU), University of Washington [Seattle], Bar-Ilan University [Israël], Hospital for Special Surgery, University of Western Australia, University School of Medicine, University of Rochester Medical Center, Ohio State University [Columbus] (OSU), Royal Brisbane & Women's Hospital, and American Society for Bone and Mineral Research (ASBMR). USA.
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[SDV.MHEP.EM]Life Sciences [q-bio]/Human health and pathology/Endocrinology and metabolism ,ComputingMilieux_MISCELLANEOUS ,[SDV.MHEP]Life Sciences [q-bio]/Human health and pathology - Abstract
International audience
- Published
- 2014
47. The genetic basis of cross-phenotype correlation with bone fracture risk: the GEFOS consortium
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Oei, Ling, Nordstrom, Peter, Ntzani, Evangelia, Zheng, Hou-Feng, Estrada, Karol, Duncan, Emma, Medina-Gomez, Carolina, Kaptoge, Stephen, Hsu, Yi-Hsiang, Yang, Jian, Nielson, Carrie, Styrkarsdottir, Unnur, Ridker, Paul, Garcia, Melissa, Aragaki, Aaron, Enneman, Anke, Lehtimaki, Terho, Esko, Tonu, Trompet, Stella, Eriksson, Joel, Amin, Najaf, Kung, Annie, Tsilidis, Konstantinos, Thorleifsson, Gudmar, Rose, Lynda, Zmuda, Joseph, Liu, Ching-Ti, Vernon-Smith, Albert, Srikanth, Priya, Wilson, Scott, Clark, Graeme, Viikari, Jorma, Mihailov, Evelin, Moayyeri, Alireza, Li, Guo, Kammerer, Candace, Lorentzon, Mattias, Rivera, Natalia, Xiao, Sumei, Tranah, Gregory, Evans, Dan, Siggeirsdottir, Kristin, Oei, Edwin, Stefansson, Kari, Aalto, Ville, Willner, Dana, Wareham, Nicholas, Minster, Ryan, Bis, Joshua, Duijn, Cornelia, Boyle, Alan, Snyder, Michael, Herrera, Lizbeth, Cupples, L. Adrienne, Aspelund, Thor, Raitakari, Olli, Leo, Paul, Khaw, Kay-Tee, Robbins, John, Liu, Yongmei, Breda, Stephan, Luben, Robert, Cauley, Jane, Arnold, Alice, Reppe, Sjur, Hibbs, Matthew, Stolk, Lisette, Pasco, Julie, Grundberg, Elin, Gautvik, Kaare, Ackert-Bicknell, Cheryl, Yadav, Vijay, Choi, Kwangbom, Peppel, Jeroen, Leeuwen, Johannes, Pols, Huibert, Hofman, Albert, Shen, Jian, Meurs, Joyce, Atanasovska, Biljana, Sham, Pak, Claes Ohlsson, Psaty, Bruce, Harris, Tamara, Reeve, Jonathan, Jukema, J. Wouter, Metspalu, Andres, Kahonen, Mika, Velde, Nathalie, Brown, Matthew, Gudnason, Vilmundar, Ioannidis, John, Uitterlinden, Andre, Cummings, Steven, Spector, Tim, Kiel, Douglas, Jackson, Rebecca, Thorsteinsdottir, Unnur, Chasman, Daniel, Orwoll, Eric, Karasik, David, Zillikens, Maria, Evangelou, Evangelos, Richards, Brent, Visscher, Peter, Michaelsson, Karl, and Rivadeneira, Fernando
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- 2013
48. Metabolomic Pathways to Osteoporosis in Middle‐Aged Women: A Genome‐Metabolome‐Wide Mendelian Randomization Study.
- Author
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Moayyeri, Alireza, Cheung, Ching‐Lung, Tan, Kathryn C. B., Morris, John A., Cerani, Agustin, Mohney, Robert P., Richards, J. Brent, Hammond, Christopher, Spector, Tim D., and Menni, Cristina
- Abstract
ABSTRACT: The metabolic state of the body can be a major determinant of bone health. We used a Mendelian randomization approach to identify metabolites causally associated with bone mass to better understand the biological mechanisms of osteoporosis. We tested bone phenotypes (femoral neck, total hip, and lumbar spine bone mineral density [BMD]) for association with 280 fasting blood metabolites in 6055 women from TwinsUK cohort with genomewide genotyping scans. Causal associations between metabolites and bone phenotypes were further assessed in a bidirectional Mendelian randomization study using genetic markers/scores as instrumental variables. Significant associations were replicated in 624 participants from the Hong Kong Osteoporosis Study (HKOS). Fifteen metabolites showed direct associations with bone phenotypes after adjusting for covariates and multiple testing. Using genetic instruments, four of these metabolites were found to be causally associated with hip or spine BMD. These included androsterone sulfate, epiandrosterone sulfate, 5alpha‐androstan‐3beta17beta‐diol disulfate (encoded by
CYP3A5 ), and 4‐androsten‐3beta17beta‐diol disulfate (encoded bySULT2A1 ). In the HKOS population, all four metabolites showed significant associations with hip and spine BMD in the expected directions. No causal reverse association between BMD and any of the metabolites were found. In the first metabolome‐genomewide Mendelian randomization study of human bone mineral density, we identified four novel biomarkers causally associated with BMD. Our findings reveal novel biological pathways involved in the pathogenesis of osteoporosis. © 2017 American Society for Bone and Mineral Research. [ABSTRACT FROM AUTHOR]- Published
- 2018
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49. Official positions for FRAX® Bone Mineral Density and FRAX® Simplification. From Joint official positions Development Conference of the International Society for Clinical Densitometry and International Osteoporosis Foundation on FRAX
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Lewiecki, E. Michael, Compston, Juliet E., Miller, Paul D., Adachi, Jonathan D., Adams, Judith E., Leslie, William D., Kanis, John A., Moayyeri, Alireza, Adler, Robert A., Hans, Didier B., Kendler, David L., Diez-Perez, Adolfo, Krieg, Marc-Antoine, Masri, Basel K., Lorenc, Roman R., Bauer, Douglas C., Blake, Glen M., Josse, Robert G., Clark, Patricia, and Khan, Aliya A.
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ISCD ,QUS ,fracture risk ,osteoporosis ,official positions ,FRAX - Abstract
Tools to predict fracture risk are useful for selecting patients for pharmacological therapy in order to reduce fracture risk and redirect limited healthcare resources to those who are most likely to benefit. FRAX® is a World Health Organization fracture risk assessment algorithm for estimating the 10-year probability of hip fracture and major osteoporotic fracture. Effective application of FRAX® in clinical practice requires a thorough understanding of its limitations as well as its utility. For some patients, FRAX® may underestimate or overestimate fracture risk. In order to address some of the common issues encountered with the use of FRAX® for individual patients, the International Society for Clinical Densitometry ( ISCD ) and International Osteoporosis Foundation ( IOF ) assigned task forces to review the medical evidence and make recommendations for optimal use of FRAX® in clinical practice. Among the issues addressed were the use of bone mineral density ( BMD ) measurements at skeletal sites other than the femoral neck, the use of technologies other than dual-energy X-ray absorptiometry, the use of FRAX®without BMD input, the use of FRAX® to monitor treatment, and the addition of the rate of bone loss as a clinical risk factor for FRAX®. The evidence and recommendations were presented to a panel of experts at the Joint ISCD-IOF FRAX® Position Development Conference, resulting in the development of Joint ISCD-IOF Official Positions addressing FRAX®-related issues.
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- 2011
50. Workflow for Integrated Processing of Multicohort Untargeted 1H NMR Metabolomics Data in Large-Scale Metabolic Epidemiology.
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Karaman, Ibrahim, Ferreira, Diana L. S., Boulangé, Claire L., Kaluarachchi, Manuja R., Herrington, David, Dona, Anthony C., Castagné, Raphaële, Moayyeri, Alireza, Lehne, Benjamin, Loh, Marie, de Vries, Paul S., Dehghan, Abbas, Franco, Oscar H., Hofman, Albert, Evangelou, Evangelos, Tzoulaki, Ioanna, Elliott, Paul, Lindon, John C., and Ebbels, Timothy M. D.
- Published
- 2016
- Full Text
- View/download PDF
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