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309 results on '"Moayyeri, Alireza"'

1. Drug utilization analysis of osteoporosis medications in seven European electronic health databases

Author

Tan, Eng Hooi, Robinson, Danielle E., Jödicke, Annika M., Mosseveld, Mees, Bødkergaard, Katrine, Reyes, Carlen, Moayyeri, Alireza, Voss, Annemarie, Marconi, Ettore, Lapi, Francesco, Reinold, Jonas, Verhamme, Katia M. C., Pedersen, Lars, Braitmaier, Malte, de Wilde, Marcel, Ruiz, Marc Far, Aragón, María, Bosco-Levy, Pauline, Lassalle, Regis, Prieto-Alhambra, Daniel, and Sanchez-Santos, Maria T.

Published
2023
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4. KLB is associated with alcohol drinking, and its gene product β-Klotho is necessary for FGF21 regulation of alcohol preference

Author

Schumann, Gunter, Liu, Chunyu, O'Reilly, Paul, Gao, He, Song, Parkyong, Xu, Bing, Ruggeri, Barbara, Amin, Najaf, Jia, Tianye, Preis, Sarah, Segura Lepe, Marcelo, Akira, Shizuo, Barbieri, Caterina, Baumeister, Sebastian, Cauchi, Stephane, Clarke, Toni-Kim, Enroth, Stefan, Fischer, Krista, 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 AF, Martin, Nicholas, Morrison, Alanna, Penninx, Brenda, Pirastu, Nicola, Psaty, Bruce, and Raitakari, Olli

Subjects
Underage Drinking, Genetics, Alcoholism, Alcohol Use and Health, Neurosciences, Substance Misuse, Pediatric, Underpinning research, 1.1 Normal biological development and functioning, Stroke, Cardiovascular, Cancer, Oral and gastrointestinal, Good Health and Well Being, Alcohol Drinking, Animals, Behavior, Animal, Brain, Emotions, Female, Fibroblast Growth Factors, Genome-Wide Association Study, Humans, Klotho Proteins, Liver, Male, Membrane Proteins, Mice, Mice, 129 Strain, Mice, Inbred C57BL, Mice, Knockout, Polymorphism, Single Nucleotide, alcohol consumption, human, beta-Klotho, FGF21, mouse model, β-Klotho
Abstract

Excessive alcohol consumption is a major public health problem worldwide. Although drinking habits are known to be inherited, few genes have been identified that are robustly linked to alcohol drinking. We conducted a genome-wide association metaanalysis and replication study among >105,000 individuals of European ancestry and identified β-Klotho (KLB) as a locus associated with alcohol consumption (rs11940694; P = 9.2 × 10-12). β-Klotho is an obligate coreceptor for the hormone FGF21, which is secreted from the liver and implicated in macronutrient preference in humans. We show that brain-specific β-Klotho KO mice have an increased alcohol preference and that FGF21 inhibits alcohol drinking by acting on the brain. These data suggest that a liver-brain endocrine axis may play an important role in the regulation of alcohol drinking behavior and provide a unique pharmacologic target for reducing alcohol consumption.

Published
2016

5. Whole‐genome sequencing identifies EN1 as a determinant of bone density and fracture

Author

Zheng, Hou‐Feng, Forgetta, Vincenzo, Hsu, Yi‐Hsiang, Estrada, Karol, Rosello‐Diez, Alberto, Leo, Paul J, Dahia, Chitra L, Park‐Min, Kyung Hyun, Tobias, Jonathan H, Kooperberg, Charles, Kleinman, Aaron, Styrkarsdottir, Unnur, Liu, Ching‐Ti, Uggla, Charlotta, Evans, Daniel S, Nielson, Carrie M, Walter, Klaudia, Pettersson‐Kymmer, Ulrika, McCarthy, Shane, Eriksson, Joel, Kwan, Tony, Jhamai, Mila, Trajanoska, Katerina, Memari, Yasin, Min, Josine, Huang, Jie, Danecek, Petr, Wilmot, Beth, Li, Rui, Chou, Wen‐Chi, Mokry, Lauren E, Moayyeri, Alireza, Claussnitzer, Melina, Cheng, Chia‐Ho, Cheung, Warren, Medina‐Gómez, Carolina, Ge, Bing, Chen, Shu‐Huang, Choi, Kwangbom, Oei, Ling, Fraser, James, Kraaij, Robert, Hibbs, Matthew A, Gregson, Celia L, Paquette, Denis, Hofman, Albert, Wibom, Carl, Tranah, Gregory J, Marshall, Mhairi, Gardiner, Brooke B, Cremin, Katie, Auer, Paul, Hsu, Li, Ring, Sue, Tung, Joyce Y, Thorleifsson, Gudmar, Enneman, Anke W, van Schoor, Natasja M, de Groot, Lisette CPGM, van der Velde, Nathalie, Melin, Beatrice, Kemp, John P, Christiansen, Claus, Sayers, Adrian, Zhou, Yanhua, Calderari, Sophie, van Rooij, Jeroen, Carlson, Chris, Peters, Ulrike, Berlivet, Soizik, Dostie, Josée, Uitterlinden, Andre G, Williams, Stephen R, Farber, Charles, Grinberg, Daniel, LaCroix, Andrea Z, Haessler, Jeff, Chasman, Daniel I, Giulianini, Franco, Rose, Lynda M, Ridker, Paul M, Eisman, John A, Nguyen, Tuan V, Center, Jacqueline R, Nogues, Xavier, Garcia‐Giralt, Natalia, Launer, Lenore L, Gudnason, Vilmunder, Mellström, Dan, Vandenput, Liesbeth, Amin, Najaf, van Duijn, Cornelia M, Karlsson, Magnus K, Ljunggren, Östen, Svensson, Olle, Hallmans, Göran, Rousseau, François, Giroux, Sylvie, Bussière, Johanne, and Arp, Pascal P

Subjects
Biological Sciences, Biomedical and Clinical Sciences, Clinical Sciences, Genetics, Human Genome, Biotechnology, Osteoporosis, Stem Cell Research, 2.1 Biological and endogenous factors, 1.1 Normal biological development and functioning, Aetiology, Underpinning research, Musculoskeletal, Injuries and accidents, Animals, Bone Density, Bone and Bones, Disease Models, Animal, Europe, Exome, Female, Fractures, Bone, Gene Frequency, Genetic Predisposition to Disease, Genetic Variation, Genome, Human, Genomics, Genotype, Homeodomain Proteins, Humans, Mice, Sequence Analysis, DNA, White People, Wnt Proteins, AOGC Consortium, UK10K Consortium, General Science & Technology
Abstract

The extent to which low-frequency (minor allele frequency (MAF) between 1-5%) and rare (MAF ≤ 1%) variants contribute to complex traits and disease in the general population is mainly unknown. Bone mineral density (BMD) is highly heritable, a major predictor of osteoporotic fractures, and has been previously associated with common genetic variants, as well as rare, population-specific, coding variants. Here we identify novel non-coding genetic variants with large effects on BMD (ntotal = 53,236) and fracture (ntotal = 508,253) in individuals of European ancestry from the general population. Associations for BMD were derived from whole-genome sequencing (n = 2,882 from UK10K (ref. 10); a population-based genome sequencing consortium), whole-exome sequencing (n = 3,549), deep imputation of genotyped samples using a combined UK10K/1000 Genomes reference panel (n = 26,534), and de novo replication genotyping (n = 20,271). We identified a low-frequency non-coding variant near a novel locus, EN1, with an effect size fourfold larger than the mean of previously reported common variants for lumbar spine BMD (rs11692564(T), MAF = 1.6%, replication effect size = +0.20 s.d., Pmeta = 2 × 10(-14)), which was also associated with a decreased risk of fracture (odds ratio = 0.85; P = 2 × 10(-11); ncases = 98,742 and ncontrols = 409,511). Using an En1(cre/flox) mouse model, we observed that conditional loss of En1 results in low bone mass, probably as a consequence of high bone turnover. We also identified a novel low-frequency non-coding variant with large effects on BMD near WNT16 (rs148771817(T), MAF = 1.2%, replication effect size = +0.41 s.d., Pmeta = 1 × 10(-11)). In general, there was an excess of association signals arising from deleterious coding and conserved non-coding variants. These findings provide evidence that low-frequency non-coding variants have large effects on BMD and fracture, thereby providing rationale for whole-genome sequencing and improved imputation reference panels to study the genetic architecture of complex traits and disease in the general population.

Published
2015

6. Genetic determinants of heel bone properties: genome-wide association meta-analysis and replication in the GEFOS/GENOMOS consortium.

Author

Moayyeri, Alireza, Hsu, Yi-Hsiang, Karasik, David, Estrada, Karol, Xiao, Su-Mei, Nielson, Carrie, Srikanth, Priya, Giroux, Sylvie, Wilson, Scott G, Zheng, Hou-Feng, Smith, Albert V, Pye, Stephen R, Leo, Paul J, Teumer, Alexander, Hwang, Joo-Yeon, Ohlsson, Claes, McGuigan, Fiona, Minster, Ryan L, Hayward, Caroline, Olmos, José M, Lyytikäinen, Leo-Pekka, Lewis, Joshua R, Swart, Karin MA, Masi, Laura, Oldmeadow, Chris, Holliday, Elizabeth G, Cheng, Sulin, van Schoor, Natasja M, Harvey, Nicholas C, Kruk, Marcin, del Greco M, Fabiola, Igl, Wilmar, Trummer, Olivia, Grigoriou, Efi, Luben, Robert, Liu, Ching-Ti, Zhou, Yanhua, Oei, Ling, Medina-Gomez, Carolina, Zmuda, Joseph, Tranah, Greg, Brown, Suzanne J, Williams, Frances M, Soranzo, Nicole, Jakobsdottir, Johanna, Siggeirsdottir, Kristin, Holliday, Kate L, Hannemann, Anke, Go, Min Jin, Garcia, Melissa, Polasek, Ozren, Laaksonen, Marika, Zhu, Kun, Enneman, Anke W, McEvoy, Mark, Peel, Roseanne, Sham, Pak Chung, Jaworski, Maciej, Johansson, Åsa, Hicks, Andrew A, Pludowski, Pawel, Scott, Rodney, Dhonukshe-Rutten, Rosalie AM, van der Velde, Nathalie, Kähönen, Mika, Viikari, Jorma S, Sievänen, Harri, Raitakari, Olli T, González-Macías, Jesús, Hernández, Jose L, Mellström, Dan, Ljunggren, Osten, Cho, Yoon Shin, Völker, Uwe, Nauck, Matthias, Homuth, Georg, Völzke, Henry, Haring, Robin, Brown, Matthew A, McCloskey, Eugene, Nicholson, Geoffrey C, Eastell, Richard, Eisman, John A, Jones, Graeme, Reid, Ian R, Dennison, Elaine M, Wark, John, Boonen, Steven, Vanderschueren, Dirk, Wu, Frederick CW, Aspelund, Thor, Richards, J Brent, Bauer, Doug, Hofman, Albert, Khaw, Kay-Tee, Dedoussis, George, Obermayer-Pietsch, Barbara, Gyllensten, Ulf, Pramstaller, Peter P, and Lorenc, Roman S

Subjects
Calcaneus, Humans, Osteoporosis, Genetic Predisposition to Disease, Ultrasonography, Cohort Studies, Bone Density, Polymorphism, Single Nucleotide, Adult, Aged, Aged, 80 and over, Middle Aged, Female, Male, Fractures, Bone, Genome-Wide Association Study, Young Adult, Human Genome, Genetics, Aging, 2.1 Biological and endogenous factors, Aetiology, Musculoskeletal, Biological Sciences, Medical and Health Sciences, Genetics & Heredity
Abstract

Quantitative ultrasound of the heel captures heel bone properties that independently predict fracture risk and, with bone mineral density (BMD) assessed by X-ray (DXA), may be convenient alternatives for evaluating osteoporosis and fracture risk. We performed a meta-analysis of genome-wide association (GWA) studies to assess the genetic determinants of heel broadband ultrasound attenuation (BUA; n = 14 260), velocity of sound (VOS; n = 15 514) and BMD (n = 4566) in 13 discovery cohorts. Independent replication involved seven cohorts with GWA data (in silico n = 11 452) and new genotyping in 15 cohorts (de novo n = 24 902). In combined random effects, meta-analysis of the discovery and replication cohorts, nine single nucleotide polymorphisms (SNPs) had genome-wide significant (P < 5 × 10(-8)) associations with heel bone properties. Alongside SNPs within or near previously identified osteoporosis susceptibility genes including ESR1 (6q25.1: rs4869739, rs3020331, rs2982552), SPTBN1 (2p16.2: rs11898505), RSPO3 (6q22.33: rs7741021), WNT16 (7q31.31: rs2908007), DKK1 (10q21.1: rs7902708) and GPATCH1 (19q13.11: rs10416265), we identified a new locus on chromosome 11q14.2 (rs597319 close to TMEM135, a gene recently linked to osteoblastogenesis and longevity) significantly associated with both BUA and VOS (P < 8.23 × 10(-14)). In meta-analyses involving 25 cohorts with up to 14 985 fracture cases, six of 10 SNPs associated with heel bone properties at P < 5 × 10(-6) also had the expected direction of association with any fracture (P < 0.05), including three SNPs with P < 0.005: 6q22.33 (rs7741021), 7q31.31 (rs2908007) and 10q21.1 (rs7902708). In conclusion, this GWA study reveals the effect of several genes common to central DXA-derived BMD and heel ultrasound/DXA measures and points to a new genetic locus with potential implications for better understanding of osteoporosis pathophysiology.

Published
2014

7. Risk assessment for osteoporotic fractures among men and women from a prospective population study : the EPIC-Norfolk study

Author

Moayyeri, Alireza and Khaw, Kay-Tee

Subjects
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.

Published
2012
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9. 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

Author

Pineda‐Moncusí, Marta, primary, El‐Hussein, Leena, additional, Delmestri, Antonella, additional, Cooper, Cyrus, additional, Moayyeri, Alireza, additional, Libanati, Cesar, additional, Toth, Emese, additional, Prieto‐Alhambra, Daniel, additional, and Khalid, Sara, additional

Published
2022
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15. 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 ®

Author

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.

Published
2011
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17. The UK10K project identifies rare variants in health and disease

Author

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

Published
2015
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18. Towards evidence-based diagnosis in developing countries : The use of likelihood ratios for robust quick diagnosis

Author

Soltani Akbar and Moayyeri Alireza

Subjects
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.

Published
2006

21. Genetic studies of body mass index yield new insights for obesity biology

Author

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.

Published
2015
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22. New genetic loci link adipose and insulin biology to body fat distribution

Author

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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25. The Value of Bayes Theorem in the Interpretation of Subjective Diagnostic Findings: What Can We Learn from Agreement Studies?

Author

Sadatsafavi, Mohsen, Moayyeri, Alireza, Bahrami, Hossein, and Soltani, Akbar

Subjects
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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29. Total Hip Bone Mineral Density as an Indicator of Fracture Risk in Bisphosphonate‐Treated Patients in a Real‐World Setting.

Author

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]

Published
2022
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33. Improving Visualization and Interpretation of Metabolome-Wide Association Studies: An Application in a Population-Based Cohort Using Untargeted 1H NMR Metabolic Profiling

Author

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

34. Rare Variant Analysis of Human and Rodent Obesity Genes in Individuals with Severe Childhood Obesity

Author

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

Subjects
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.

Published
2017

36. Steroid receptor coactivator-1 modulates the function of Pomc neurons and energy homeostasis

Author

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

Published
2019

43. Serum metabolic signatures of coronary and carotid atherosclerosis and subsequent cardiovascular disease

Author

Tzoulaki, Ioanna, primary, Castagné, Raphaële, additional, Boulangé, Claire L, additional, Karaman, Ibrahim, additional, Chekmeneva, Elena, additional, Evangelou, Evangelos, additional, Ebbels, Timothy M D, additional, Kaluarachchi, Manuja R, additional, Chadeau-Hyam, Marc, additional, Mosen, David, additional, Dehghan, Abbas, additional, Moayyeri, Alireza, additional, Ferreira, Diana L Santos, additional, Guo, Xiuqing, additional, Rotter, Jerome I, additional, Taylor, Kent D, additional, Kavousi, Maryam, additional, de Vries, Paul S, additional, Lehne, Benjamin, additional, Loh, Marie, additional, Hofman, Albert, additional, Nicholson, Jeremy K, additional, Chambers, John, additional, Gieger, Christian, additional, Holmes, Elaine, additional, Tracy, Russell, additional, Kooner, Jaspal, additional, Greenland, Philip, additional, Franco, Oscar H, additional, Herrington, David, additional, Lindon, John C, additional, and Elliott, Paul, additional

Published
2019
Full Text
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44. Bi-allelic Loss-of-Function CACNA1B Mutations in Progressive Epilepsy-Dyskinesia

Author

Gorman, Kathleen M., primary, Meyer, Esther, additional, Grozeva, Detelina, additional, Spinelli, Egidio, additional, McTague, Amy, additional, Sanchis-Juan, Alba, additional, Carss, Keren J., additional, Bryant, Emily, additional, Reich, Adi, additional, Schneider, Amy L., additional, Pressler, Ronit M., additional, Simpson, Michael A., additional, Debelle, Geoff D., additional, Wassmer, Evangeline, additional, Morton, Jenny, additional, Sieciechowicz, Diana, additional, Jan-Kamsteeg, Eric, additional, Paciorkowski, Alex R., additional, King, Mary D., additional, Cross, J. Helen, additional, Poduri, Annapurna, additional, Mefford, Heather C., additional, Scheffer, Ingrid E., additional, Haack, Tobias B., additional, McCullagh, Gary, additional, Millichap, John J., additional, Carvill, Gemma L., additional, Clayton-Smith, Jill, additional, Maher, Eamonn R., additional, Raymond, F. Lucy, additional, Kurian, Manju A., additional, McRae, Jeremy F., additional, Clayton, Stephen, additional, Fitzgerald, Tomas W., additional, Kaplanis, Joanna, additional, Prigmore, Elena, additional, Rajan, Diana, additional, Sifrim, Alejandro, additional, Aitken, Stuart, additional, Akawi, Nadia, additional, Alvi, Mohsan, additional, Ambridge, Kirsty, additional, Barrett, Daniel M., additional, Bayzetinova, Tanya, additional, Jones, Philip, additional, Jones, Wendy D., additional, King, Daniel, additional, Krishnappa, Netravathi, additional, Mason, Laura E., additional, Singh, Tarjinder, additional, Tivey, Adrian R., additional, Ahmed, Munaza, additional, Anjum, Uruj, additional, Archer, Hayley, additional, Armstrong, Ruth, additional, Awada, Jana, additional, Balasubramanian, Meena, additional, Banka, Siddharth, additional, Baralle, Diana, additional, Barnicoat, Angela, additional, Batstone, Paul, additional, Baty, David, additional, Bennett, Chris, additional, Berg, Jonathan, additional, Bernhard, Birgitta, additional, Bevan, A. Paul, additional, Bitner-Glindzicz, Maria, additional, Blair, Edward, additional, Blyth, Moira, additional, Bohanna, David, additional, Bourdon, Louise, additional, Bourn, David, additional, Bradley, Lisa, additional, Brady, Angela, additional, Brent, Simon, additional, Brewer, Carole, additional, Brunstrom, Kate, additional, Bunyan, David J., additional, Burn, John, additional, Canham, Natalie, additional, Castle, Bruce, additional, Chandler, Kate, additional, Chatzimichali, Elena, additional, Cilliers, Deirdre, additional, Clarke, Angus, additional, Clasper, Susan, additional, Clowes, Virginia, additional, Coates, Andrea, additional, Cole, Trevor, additional, Colgiu, Irina, additional, Collins, Amanda, additional, Collinson, Morag N., additional, Connell, Fiona, additional, Cooper, Nicola, additional, Cox, Helen, additional, Cresswell, Lara, additional, Cross, Gareth, additional, Crow, Yanick, additional, D’Alessandro, Mariella, additional, Dabir, Tabib, additional, Davidson, Rosemarie, additional, Davies, Sally, additional, de Vries, Dylan, additional, Dean, John, additional, Deshpande, Charu, additional, Devlin, Gemma, additional, Dixit, Abhijit, additional, Dobbie, Angus, additional, Donaldson, Alan, additional, Donnai, Dian, additional, Donnelly, Deirdre, additional, Donnelly, Carina, additional, Douglas, Angela, additional, Douzgou, Sofia, additional, Duncan, Alexis, additional, Eason, Jacqueline, additional, Ellard, Sian, additional, Ellis, Ian, additional, Elmslie, Frances, additional, Evans, Karenza, additional, Everest, Sarah, additional, Fendick, Tina, additional, Fisher, Richard, additional, Flinter, Frances, additional, Foulds, Nicola, additional, Fry, Andrew, additional, Fryer, Alan, additional, Gardiner, Carol, additional, Gaunt, Lorraine, additional, Ghali, Neeti, additional, Gibbons, Richard, additional, Gill, Harinder, additional, Goodship, Judith, additional, Goudie, David, additional, Gray, Emma, additional, Green, Andrew, additional, Greene, Philip, additional, Greenhalgh, Lynn, additional, Gribble, Susan, additional, Harrison, Rachel, additional, Harrison, Lucy, additional, Harrison, Victoria, additional, Hawkins, Rose, additional, He, Liu, additional, Hellens, Stephen, additional, Henderson, Alex, additional, Hewitt, Sarah, additional, Hildyard, Lucy, additional, Hobson, Emma, additional, Holden, Simon, additional, Holder, Muriel, additional, Holder, Susan, additional, Hollingsworth, Georgina, additional, Homfray, Tessa, additional, Humphreys, Mervyn, additional, Hurst, Jane, additional, Hutton, Ben, additional, Ingram, Stuart, additional, Irving, Melita, additional, Islam, Lily, additional, Jackson, Andrew, additional, Jarvis, Joanna, additional, Jenkins, Lucy, additional, Johnson, Diana, additional, Jones, Elizabeth, additional, Josifova, Dragana, additional, Joss, Shelagh, additional, Kaemba, Beckie, additional, Kazembe, Sandra, additional, Kelsell, Rosemary, additional, Kerr, Bronwyn, additional, Kingston, Helen, additional, Kini, Usha, additional, Kinning, Esther, additional, Kirby, Gail, additional, Kirk, Claire, additional, Kivuva, Emma, additional, Kraus, Alison, additional, Kumar, Dhavendra, additional, Kumar, V. K. Ajith, additional, Lachlan, Katherine, additional, Lam, Wayne, additional, Lampe, Anne, additional, Langman, Caroline, additional, Lees, Melissa, additional, Lim, Derek, additional, Longman, Cheryl, additional, Lowther, Gordon, additional, Lynch, Sally A., additional, Magee, Alex, additional, Maher, Eddy, additional, Male, Alison, additional, Mansour, Sahar, additional, Marks, Karen, additional, Martin, Katherine, additional, Maye, Una, additional, McCann, Emma, additional, McConnell, Vivienne, additional, McEntagart, Meriel, additional, McGowan, Ruth, additional, McKay, Kirsten, additional, McKee, Shane, additional, McMullan, Dominic J., additional, McNerlan, Susan, additional, McWilliam, Catherine, additional, Mehta, Sarju, additional, Metcalfe, Kay, additional, Middleton, Anna, additional, Miedzybrodzka, Zosia, additional, Miles, Emma, additional, Mohammed, Shehla, additional, Montgomery, Tara, additional, Moore, David, additional, Morgan, Sian, additional, Mugalaasi, Hood, additional, Murday, Victoria, additional, Murphy, Helen, additional, Naik, Swati, additional, Nemeth, Andrea, additional, Nevitt, Louise, additional, Newbury-Ecob, Ruth, additional, Norman, Andrew, additional, O’Shea, Rosie, additional, Ogilvie, Caroline, additional, Ong, Kai-Ren, additional, Park, Soo-Mi, additional, Parker, Michael J., additional, Patel, Chirag, additional, Paterson, Joan, additional, Payne, Stewart, additional, Perrett, Daniel, additional, Phipps, Julie, additional, Pilz, Daniela T., additional, Pollard, Martin, additional, Pottinger, Caroline, additional, Poulton, Joanna, additional, Pratt, Norman, additional, Prescott, Katrina, additional, Price, Sue, additional, Pridham, Abigail, additional, Procter, Annie, additional, Purnell, Hellen, additional, Quarrell, Oliver, additional, Ragge, Nicola, additional, Rahbari, Raheleh, additional, Randall, Josh, additional, Rankin, Julia, additional, Raymond, Lucy, additional, Rice, Debbie, additional, Robert, Leema, additional, Roberts, Eileen, additional, Roberts, Jonathan, additional, Roberts, Paul, additional, Roberts, Gillian, additional, Ross, Alison, additional, Rosser, Elisabeth, additional, Saggar, Anand, additional, Samant, Shalaka, additional, Sampson, Julian, additional, Sandford, Richard, additional, Sarkar, Ajoy, additional, Schweiger, Susann, additional, Scott, Richard, additional, Scurr, Ingrid, additional, Selby, Ann, additional, Seller, Anneke, additional, Sequeira, Cheryl, additional, Shannon, Nora, additional, Sharif, Saba, additional, Shaw-Smith, Charles, additional, Shearing, Emma, additional, Shears, Debbie, additional, Sheridan, Eamonn, additional, Simonic, Ingrid, additional, Singzon, Roldan, additional, Skitt, Zara, additional, Smith, Audrey, additional, Smith, Kath, additional, Smithson, Sarah, additional, Sneddon, Linda, additional, Splitt, Miranda, additional, Squires, Miranda, additional, Stewart, Fiona, additional, Stewart, Helen, additional, Straub, Volker, additional, Suri, Mohnish, additional, Sutton, Vivienne, additional, Swaminathan, Ganesh Jawahar, additional, Sweeney, Elizabeth, additional, Tatton-Brown, Kate, additional, Taylor, Cat, additional, Taylor, Rohan, additional, Tein, Mark, additional, Temple, I. Karen, additional, Thomson, Jenny, additional, Tischkowitz, Marc, additional, Tomkins, Susan, additional, Torokwa, Audrey, additional, Treacy, Becky, additional, Turner, Claire, additional, Turnpenny, Peter, additional, Tysoe, Carolyn, additional, Vandersteen, Anthony, additional, Varghese, Vinod, additional, Vasudevan, Pradeep, additional, Vijayarangakannan, Parthiban, additional, Vogt, Julie, additional, Wakeling, Emma, additional, Wallwark, Sarah, additional, Waters, Jonathon, additional, Weber, Astrid, additional, Wellesley, Diana, additional, Whiteford, Margo, additional, Widaa, Sara, additional, Wilcox, Sarah, additional, Wilkinson, Emily, additional, Williams, Denise, additional, Williams, Nicola, additional, Wilson, Louise, additional, Woods, Geoff, additional, Wragg, Christopher, additional, Wright, Michael, additional, Yates, Laura, additional, Yau, Michael, additional, Nellåker, Chris, additional, Parker, Michael, additional, Firth, Helen V., additional, Wright, Caroline F., additional, FitzPatrick, David R., additional, Barrett, Jeffrey C., additional, Hurles, Matthew E., additional, Al Turki, Saeed, additional, Anderson, Carl, additional, Anney, Richard, additional, Antony, Dinu, additional, Artigas, Maria Soler, additional, Ayub, Muhammad, additional, Balasubramaniam, Senduran, additional, Barroso, Inês, additional, Beales, Phil, additional, Bentham, Jamie, additional, Bhattacharya, Shoumo, additional, Birney, Ewan, additional, Blackwood, Douglas, additional, Bobrow, Martin, additional, Bochukova, Elena, additional, Bolton, Patrick, additional, Bounds, Rebecca, additional, Boustred, Chris, additional, Breen, Gerome, additional, Calissano, Mattia, additional, Carss, Keren, additional, Chatterjee, Krishna, additional, Chen, Lu, additional, Ciampi, Antonio, additional, Cirak, Sebhattin, additional, Clapham, Peter, additional, Clement, Gail, additional, Coates, Guy, additional, Collier, David, additional, Cosgrove, Catherine, additional, Cox, Tony, additional, Craddock, Nick, additional, Crooks, Lucy, additional, Curran, Sarah, additional, Curtis, David, additional, Daly, Allan, additional, Day-Williams, Aaron, additional, Day, Ian N.M., additional, Down, Thomas, additional, Du, Yuanping, additional, Dunham, Ian, additional, Edkins, Sarah, additional, Ellis, Peter, additional, Evans, David, additional, Faroogi, Sadaf, additional, Fatemifar, Ghazaleh, additional, Fitzpatrick, David R., additional, Flicek, Paul, additional, Flyod, James, additional, Foley, A. Reghan, additional, Franklin, Christopher S., additional, Futema, Marta, additional, Gallagher, Louise, additional, Geihs, Matthias, additional, Geschwind, Daniel, additional, Griffin, Heather, additional, Guo, Xueqin, additional, Guo, Xiaosen, additional, Gurling, Hugh, additional, Hart, Deborah, additional, Hendricks, Audrey, additional, Holmans, Peter, additional, Howie, Bryan, additional, Huang, Liren, additional, Hubbard, Tim, additional, Humphries, Steve E., additional, Hysi, Pirro, additional, Jackson, David K., additional, Jamshidi, Yalda, additional, Jing, Tian, additional, Joyce, Chris, additional, Kaye, Jane, additional, Keane, Thomas, additional, Keogh, Julia, additional, Kemp, John, additional, Kennedy, Karen, additional, Kolb-Kokocinski, Anja, additional, Lachance, Genevieve, additional, Langford, Cordelia, additional, Lawson, Daniel, additional, Lee, Irene, additional, Lek, Monkol, additional, Liang, Jieqin, additional, Lin, Hong, additional, Li, Rui, additional, Li, Yingrui, additional, Liu, Ryan, additional, Lönnqvist, Jouko, additional, Lopes, Margarida, additional, Iotchkova, Valentina, additional, MacArthur, Daniel, additional, Marchini, Jonathan, additional, Maslen, John, additional, Massimo, Mangino, additional, Mathieson, Iain, additional, Marenne, Gaëlle, additional, McGuffin, Peter, additional, McIntosh, Andrew, additional, McKechanie, Andrew G., additional, McQuillin, Andrew, additional, Metrustry, Sarah, additional, Mitchison, Hannah, additional, Moayyeri, Alireza, additional, Morris, James, additional, Muntoni, Francesco, additional, Northstone, Kate, additional, O'Donnovan, Michael, additional, Onoufriadis, Alexandros, additional, O'Rahilly, Stephen, additional, Oualkacha, Karim, additional, Owen, Michael J., additional, Palotie, Aarno, additional, Panoutsopoulou, Kalliope, additional, Parker, Victoria, additional, Parr, Jeremy R., additional, Paternoster, Lavinia, additional, Paunio, Tiina, additional, Payne, Felicity, additional, Pietilainen, Olli, additional, Plagnol, Vincent, additional, Quaye, Lydia, additional, Quail, Michael A., additional, Rehnström, Karola, additional, Ring, Susan, additional, Ritchie, Graham R.S., additional, Roberts, Nicola, additional, Savage, David B., additional, Scambler, Peter, additional, Schiffels, Stephen, additional, Schmidts, Miriam, additional, Schoenmakers, Nadia, additional, Semple, Robert K., additional, Serra, Eva, additional, Sharp, Sally I., additional, Shin, So-Youn, additional, Skuse, David, additional, Small, Kerrin, additional, Southam, Lorraine, additional, Spasic-Boskovic, Olivera, additional, St Clair, David, additional, Stalker, Jim, additional, Stevens, Elizabeth, additional, St Pourcian, Beate, additional, Sun, Jianping, additional, Suvisaari, Jaana, additional, Tachmazidou, Ionna, additional, Tobin, Martin D., additional, Valdes, Ana, additional, Van Kogelenberg, Margriet, additional, Visscher, Peter M., additional, Wain, Louise V., additional, Walters, James T.R., additional, Wang, Guangbiao, additional, Wang, Jun, additional, Wang, Yu, additional, Ward, Kirsten, additional, Wheeler, Elanor, additional, Whyte, Tamieka, additional, Williams, Hywel, additional, Williamson, Kathleen A., additional, Wilson, Crispian, additional, Wong, Kim, additional, Xu, ChangJiang, additional, Yang, Jian, additional, Zhang, Fend, additional, Zhang, Pingbo, additional, Aitman, Timothy, additional, Alachkar, Hana, additional, Ali, Sonia, additional, Allen, Louise, additional, Allsup, David, additional, Ambegaonkar, Gautum, additional, Anderson, Julie, additional, Antrobus, Richard, additional, Arno, Gavin, additional, Arumugakani, Gururaj, additional, Ashford, Sofie, additional, Astle, William, additional, Attwood, Antony, additional, Austin, Steve, additional, Bacchelli, Chiara, additional, Bakchoul, Tamam, additional, Bariana, Tadbir K., additional, Baxendale, Helen, additional, Bennett, David, additional, Bethune, Claire, additional, Bibi, Shahnaz, additional, Bleda, Marta, additional, Boggard, Harm, additional, Bolton-Maggs, Paula, additional, Booth, Claire, additional, Bradley, John R., additional, Brady, Angie, additional, Brown, Matthew, additional, Browning, Michael, additional, Bryson, Christine, additional, Burns, Siobhan, additional, Calleja, Paul, additional, Carmichael, Jenny, additional, Caulfield, Mark, additional, Chalmers, Elizabeth, additional, Chandra, Anita, additional, Chinnery, Patrick, additional, Chitre, Manali, additional, Church, Colin, additional, Clement, Emma, additional, Clements-Brod, Naomi, additional, Coghlan, Gerry, additional, Collins, Peter, additional, Cooper, Nichola, additional, Creaser-Myers, Amanda, additional, DaCosta, Rosa, additional, Daugherty, Louise, additional, Davies, Sophie, additional, Davis, John, additional, De Vries, Minka, additional, Deegan, Patrick, additional, Deevi, Sri V.V., additional, Devlin, Lisa, additional, Dewhurst, Eleanor, additional, Doffinger, Rainer, additional, Dormand, Natalie, additional, Drewe, Elizabeth, additional, Edgar, David, additional, Egner, William, additional, Erber, Wendy N., additional, Erwood, Marie, additional, Everington, Tamara, additional, Favier, Remi, additional, Firth, Helen, additional, Fletcher, Debra, additional, Fox, James C., additional, Frary, Amy, additional, Freson, Kathleen, additional, Furie, Bruce, additional, Furnell, Abigail, additional, Gale, Daniel, additional, Gardham, Alice, additional, Gattens, Michael, additional, Ghataorhe, Pavandeep K., additional, Ghurye, Rohit, additional, Gibbs, Simon, additional, Gilmour, Kimberley, additional, Gissen, Paul, additional, Goddard, Sarah, additional, Gomez, Keith, additional, Gordins, Pavel, additional, Gräf, Stefan, additional, Greene, Daniel, additional, Greenhalgh, Alan, additional, Greinacher, Andreas, additional, Grigoriadou, Sofia, additional, Hackett, Scott, additional, Hadinnapola, Charaka, additional, Hague, Rosie, additional, Haimel, Matthias, additional, Halmagyi, Csaba, additional, Hammerton, Tracey, additional, Hart, Daniel, additional, Hayman, Grant, additional, Heemskerk, Johan W.M., additional, Henderson, Robert, additional, Hensiek, Anke, additional, Henskens, Yvonne, additional, Herwadkar, Archana, additional, Hu, Fengyuan, additional, Huissoon, Aarnoud, additional, Humbert, Marc, additional, James, Roger, additional, Jolles, Stephen, additional, Kazmi, Rashid, additional, Keeling, David, additional, Kelleher, Peter, additional, Kelly, Anne M., additional, Kennedy, Fiona, additional, Kiely, David, additional, Kingston, Nathalie, additional, Koziell, Ania, additional, Krishnakumar, Deepa, additional, Kuijpers, Taco W., additional, Kumararatne, Dinakantha, additional, Kurian, Manju, additional, Laffan, Michael A., additional, Lambert, Michele P., additional, Allen, Hana Lango, additional, Lawrie, Allan, additional, Lear, Sara, additional, Lentaigne, Claire, additional, Liesner, Ri, additional, Linger, Rachel, additional, Longhurst, Hilary, additional, Lorenzo, Lorena, additional, Machado, Rajiv, additional, Mackenzie, Rob, additional, MacLaren, Robert, additional, Maher, Eamonn, additional, Maimaris, Jesmeen, additional, Mangles, Sarah, additional, Manson, Ania, additional, Mapeta, Rutendo, additional, Markus, Hugh S., additional, Martin, Jennifer, additional, Masati, Larahmie, additional, Mathias, Mary, additional, Matser, Vera, additional, Maw, Anna, additional, McDermott, Elizabeth, additional, McJannet, Coleen, additional, Meacham, Stuart, additional, Meehan, Sharon, additional, Megy, Karyn, additional, Michaelides, Michel, additional, Millar, Carolyn M., additional, Moledina, Shahin, additional, Moore, Anthony, additional, Morrell, Nicholas, additional, Mumford, Andrew, additional, Murng, Sai, additional, Murphy, Elaine, additional, Nejentsev, Sergey, additional, Noorani, Sadia, additional, Nurden, Paquita, additional, Oksenhendler, Eric, additional, Ouwehand, Willem H., additional, Papadia, Sofia, additional, Parker, Alasdair, additional, Pasi, John, additional, Patch, Chris, additional, Payne, Jeanette, additional, Peacock, Andrew, additional, Peerlinck, Kathelijne, additional, Penkett, Christopher J., additional, Pepke-Zaba, Joanna, additional, Perry, David J., additional, Pollock, Val, additional, Polwarth, Gary, additional, Ponsford, Mark, additional, Qasim, Waseem, additional, Quinti, Isabella, additional, Rankin, Stuart, additional, Rehnstrom, Karola, additional, Reid, Evan, additional, Rhodes, Christopher J., additional, Richards, Michael, additional, Richardson, Sylvia, additional, Richter, Alex, additional, Roberts, Irene, additional, Rondina, Matthew, additional, Roughley, Catherine, additional, Rue-Albrecht, Kevin, additional, Samarghitean, Crina, additional, Santra, Saikat, additional, Sargur, Ravishankar, additional, Savic, Sinisa, additional, Schulman, Sol, additional, Schulze, Harald, additional, Scully, Marie, additional, Seneviratne, Suranjith, additional, Sewell, Carrock, additional, Shamardina, Olga, additional, Shipley, Debbie, additional, Simeoni, Ilenia, additional, Sivapalaratnam, Suthesh, additional, Smith, Kenneth, additional, Sohal, Aman, additional, Southgate, Laura, additional, Staines, Simon, additional, Staples, Emily, additional, Stauss, Hans, additional, Stein, Penelope, additional, Stephens, Jonathan, additional, Stirrups, Kathleen, additional, Stock, Sophie, additional, Suntharalingam, Jay, additional, Tait, R. Campbell, additional, Talks, Kate, additional, Tan, Yvonne, additional, Thachil, Jecko, additional, Thaventhiran, James, additional, Thomas, Ellen, additional, Thomas, Moira, additional, Thompson, Dorothy, additional, Thrasher, Adrian, additional, Titterton, Catherine, additional, Toh, Cheng-Hock, additional, Toshner, Mark, additional, Treacy, Carmen, additional, Trembath, Richard, additional, Tuna, Salih, additional, Turek, Wojciech, additional, Turro, Ernest, additional, Van Geet, Chris, additional, Veltman, Marijke, additional, von Ziegenweldt, Julie, additional, Vonk Noordegraaf, Anton, additional, Wanjiku, Ivy, additional, Warner, Timothy Q., additional, Watkins, Hugh, additional, Webster, Andrew, additional, Welch, Steve, additional, Westbury, Sarah, additional, Wharton, John, additional, Whitehorn, Deborah, additional, Wilkins, Martin, additional, Willcocks, Lisa, additional, Williamson, Catherine, additional, Woods, Geoffrey, additional, Wort, John, additional, Yeatman, Nigel, additional, Yong, Patrick, additional, Young, Tim, additional, and Yu, Ping, additional

Published
2019
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45. Improving visualisation and interpretation of metabolome-wide association studies (MWAS):an application in a population based cohort using untargeted 1H NMR metabolic profiling

Author

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

Subjects
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.

Published
2017

46. Discordance in diagnosis of osteoporosis using spine and hip bone densitometry

Author

Sadatsafavi Mohsen, Tabari Nasibeh, Soltani Akbar, Moayyeri Alireza, Hossein-neghad Arash, and Larijani Bagher

Subjects
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.

Published
2005
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47. Frequency of myasthenic crisis in relation to thymectomy in generalized myasthenia gravis: A 17-year experience

Author

Shalmani Hamidreza, Sadatsafavi Mohsen, Akhondzadeh Shahin, Moayyeri Alireza, Soleimani Ali, and Soltanzadeh Akbar

Subjects
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.

Published
2004
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48. 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

Author

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.

Published
2017

49. Personalising the decision for prolonged dual antiplatelet therapy : development, validation and potential impact of prognosticmodels for cardiovascular events and bleeding in myocardial infarction survivors

Author

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

Subjects
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.

Published
2017

50. Improving Visualization and Interpretation of Metabolome-Wide Association Studies: An Application in a Population-Based Cohort Using Untargeted 1H NMR Metabolic Profiling

Author

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

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
2024
Full Text
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