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Institution

Tufts University

EducationMedford, Massachusetts, United States
About: Tufts University is a education organization based out in Medford, Massachusetts, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 32800 authors who have published 66881 publications receiving 3451152 citations. The organization is also known as: Tufts College & Universitatis Tuftensis.


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Journal ArticleDOI
Helena Furberg1, Yunjung Kim1, Jennifer Dackor1, Eric Boerwinkle2, Nora Franceschini1, Diego Ardissino, Luisa Bernardinelli3, Luisa Bernardinelli4, Pier Mannuccio Mannucci5, Francesco Mauri, Piera Angelica Merlini, Devin Absher, Themistocles L. Assimes6, Stephen P. Fortmann6, Carlos Iribarren7, Joshua W. Knowles6, Thomas Quertermous6, Luigi Ferrucci8, Toshiko Tanaka8, Joshua C. Bis9, Curt D. Furberg10, Talin Haritunians11, Barbara McKnight9, Bruce M. Psaty9, Bruce M. Psaty12, Kent D. Taylor11, Evan L. Thacker9, Peter Almgren13, Leif Groop13, Claes Ladenvall13, Michael Boehnke14, Anne U. Jackson14, Karen L. Mohlke1, Heather M. Stringham14, Jaakko Tuomilehto15, Jaakko Tuomilehto16, Emelia J. Benjamin17, Shih-Jen Hwang8, Daniel Levy17, Sarah R. Preis8, Ramachandran S. Vasan17, Jubao Duan18, Pablo V. Gejman18, Douglas F. Levinson6, Alan R. Sanders18, Jianxin Shi8, Esther H. Lips19, James McKay19, Antonio Agudo, Luigi Barzan, Vladimir Bencko20, Simone Benhamou21, Simone Benhamou22, Xavier Castellsagué, Cristina Canova23, David I. Conway24, Eleonora Fabianova, Lenka Foretova, Vladimir Janout25, Claire M. Healy26, Ivana Holcatova20, Kristina Kjærheim, Pagona Lagiou27, Jolanta Lissowska, Ray Lowry28, Tatiana V. Macfarlane29, Dana Mates, Lorenzo Richiardi30, Peter Rudnai, Neonilia Szeszenia-Dabrowska31, David Zaridze32, Ariana Znaor, Mark Lathrop, Paul Brennan19, Stefania Bandinelli, Timothy M. Frayling33, Jack M. Guralnik8, Yuri Milaneschi, John R. B. Perry33, David Altshuler34, David Altshuler35, Roberto Elosua, S. Kathiresan35, S. Kathiresan34, Gavin Lucas, Olle Melander13, Christopher J. O'Donnell8, Veikko Salomaa15, Stephen M. Schwartz9, Benjamin F. Voight36, Brenda W.J.H. Penninx37, Johannes H. Smit37, Nicole Vogelzangs37, Dorret I. Boomsma37, Eco J. C. de Geus37, Jacqueline M. Vink37, Gonneke Willemsen37, Stephen J. Chanock8, Fangyi Gu35, Susan E. Hankinson35, David J. Hunter35, Albert Hofman38, Henning Tiemeier38, André G. Uitterlinden38, Cornelia M. van Duijn38, Stefan Walter38, Daniel I. Chasman35, Brendan M. Everett35, Guillaume Paré35, Paul M. Ridker35, Ming D. Li39, Hermine H. Maes40, Janet Audrain-McGovern41, Danielle Posthuma37, Laura M. Thornton1, Caryn Lerman41, Jaakko Kaprio15, Jaakko Kaprio16, Jed E. Rose42, John P. A. Ioannidis43, John P. A. Ioannidis44, Peter Kraft35, Danyu Lin1, Patrick F. Sullivan1 
TL;DR: A meta-analyses of several smoking phenotypes within cohorts of the Tobacco and Genetics Consortium found the strongest association was a synonymous 15q25 SNP in the nicotinic receptor gene CHRNA3, and three loci associated with number of cigarettes smoked per day were identified.
Abstract: Consistent but indirect evidence has implicated genetic factors in smoking behavior1,2. We report meta-analyses of several smoking phenotypes within cohorts of the Tobacco and Genetics Consortium (n = 74,053). We also partnered with the European Network of Genetic and Genomic Epidemiology (ENGAGE) and Oxford-GlaxoSmithKline (Ox-GSK) consortia to follow up the 15 most significant regions (n > 140,000). We identified three loci associated with number of cigarettes smoked per day. The strongest association was a synonymous 15q25 SNP in the nicotinic receptor gene CHRNA3 (rs1051730[A], b = 1.03, standard error (s.e.) = 0.053, beta = 2.8 x 10(-73)). Two 10q25 SNPs (rs1329650[G], b = 0.367, s. e. = 0.059, beta = 5.7 x 10(-10); and rs1028936[A], b = 0.446, s. e. = 0.074, beta = 1.3 x 10(-9)) and one 9q13 SNP in EGLN2 (rs3733829[G], b = 0.333, s. e. = 0.058, P = 1.0 x 10(-8)) also exceeded genome-wide significance for cigarettes per day. For smoking initiation, eight SNPs exceeded genome-wide significance, with the strongest association at a nonsynonymous SNP in BDNF on chromosome 11 (rs6265[C], odds ratio (OR) = 1.06, 95% confidence interval (Cl) 1.04-1.08, P = 1.8 x 10(-8)). One SNP located near DBH on chromosome 9 (rs3025343[G], OR = 1.12, 95% Cl 1.08-1.18, P = 3.6 x 10(-8)) was significantly associated with smoking cessation.

1,104 citations

Journal ArticleDOI
TL;DR: The classification of psoriasis; associated comorbidities including autoimmune diseases, cardiovascular risk, psychiatric/psychologic issues, and cancer risk; along with assessment tools for skin disease and quality-of-life issues; and the safety and efficacy of the biologic treatments used to treat patients with Psoriasis are discussed.
Abstract: Psoriasis is a common, chronic, inflammatory, multisystem disease with predominantly skin and joint manifestations affecting approximately 2% of the population. In this first of 5 sections of the guidelines of care for psoriasis, we discuss the classification of psoriasis; associated comorbidities including autoimmune diseases, cardiovascular risk, psychiatric/psychologic issues, and cancer risk; along with assessment tools for skin disease and quality-of-life issues. Finally, we will discuss the safety and efficacy of the biologic treatments used to treat patients with psoriasis.

1,103 citations

Journal ArticleDOI
TL;DR: This paper reviews studies performed to date that have employed cluster or factor analysis to empirically derive eating patterns to further establish eating patterns as a sound dietary assessment method.
Abstract: This paper reviews studies performed to date that have employed cluster or factor analysis to empirically derive eating patterns. Since 1980, at least 93 studies were published that used cluster or factor analysis to define dietary exposures, of which 65 were used to test hypotheses or examine associations between patterns and disease outcomes or biomarkers. Studies were conducted in diverse populations across many countries and continents and suggest that patterns are associated with many different biomarkers and disease outcomes, whether measured by cluster or factor analysis. Despite clear differences in approaches and interpretations, there is some evidence that underlying eating patterns are revealed by either method. Although the research considered herein has created a meaningful body of literature, refining both the factor and cluster analysis methods will help to further establish eating patterns as a sound dietary assessment method.

1,101 citations

Journal ArticleDOI
TL;DR: Cardiotoxicity is an unanticipated side effect of inhibition of c-Abl by imatinib, where cardiomyocytes in culture show activation of the endoplasmic reticulum (ER) stress response, collapse of the mitochondrial membrane potential, release of cytochrome c into the cytosol, reduction in cellular ATP content and cell death.
Abstract: Imatinib mesylate (Gleevec) is a small-molecule inhibitor of the fusion protein Bcr-Abl, the causal agent in chronic myelogenous leukemia. Here we report ten individuals who developed severe congestive heart failure while on imatinib and we show that imatinib-treated mice develop left ventricular contractile dysfunction. Transmission electron micrographs from humans and mice treated with imatinib show mitochondrial abnormalities and accumulation of membrane whorls in both vacuoles and the sarco- (endo-) plasmic reticulum, findings suggestive of a toxic myopathy. With imatinib treatment, cardiomyocytes in culture show activation of the endoplasmic reticulum (ER) stress response, collapse of the mitochondrial membrane potential, release of cytochrome c into the cytosol, reduction in cellular ATP content and cell death. Retroviral gene transfer of an imatinib-resistant mutant of c-Abl, alleviation of ER stress or inhibition of Jun amino-terminal kinases, which are activated as a consequence of ER stress, largely rescues cardiomyocytes from imatinib-induced death. Thus, cardiotoxicity is an unanticipated side effect of inhibition of c-Abl by imatinib.

1,091 citations

Journal ArticleDOI
TL;DR: It is demonstrated that normal and CSC-like cells can arise de novo from more differentiated cell types and that hierarchical models of mammary stem cell biology should encompass bidirectional interconversions between stem and nonstem compartments.
Abstract: Current models of stem cell biology assume that normal and neoplastic stem cells reside at the apices of hierarchies and differentiate into nonstem progeny in a unidirectional manner. Here we identify a subpopulation of basal-like human mammary epithelial cells that departs from that assumption, spontaneously dedifferentiating into stem-like cells. Moreover, oncogenic transformation enhances the spontaneous conversion, so that nonstem cancer cells give rise to cancer stem cell (CSC)-like cells in vitro and in vivo. We further show that the differentiation state of normal cells-of-origin is a strong determinant of posttransformation behavior. These findings demonstrate that normal and CSC-like cells can arise de novo from more differentiated cell types and that hierarchical models of mammary stem cell biology should encompass bidirectional interconversions between stem and nonstem compartments. The observed plasticity may allow derivation of patient-specific adult stem cells without genetic manipulation and holds important implications for therapeutic strategies to eradicate cancer.

1,091 citations


Authors

Showing all 33110 results

NameH-indexPapersCitations
Walter C. Willett3342399413322
Frank B. Hu2501675253464
Ralph B. D'Agostino2261287229636
John Q. Trojanowski2261467213948
Peter Libby211932182724
David Baltimore203876162955
Eric B. Rimm196988147119
Lewis C. Cantley196748169037
Bernard Rosner1901162147661
Charles A. Dinarello1901058139668
William B. Kannel188533175659
Scott M. Grundy187841231821
John P. A. Ioannidis1851311193612
David H. Weinberg183700171424
Joel Schwartz1831149109985
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023100
2022467
20213,334
20203,065
20192,806
20182,618