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Institution

University of Milan

EducationMilan, Italy
About: University of Milan is a education organization based out in Milan, Italy. It is known for research contribution in the topics: Population & Medicine. The organization has 58413 authors who have published 139784 publications receiving 4636354 citations. The organization is also known as: Università degli Studi di Milano & Statale.


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Journal ArticleDOI
TL;DR: Empirical support is presented for the notion that changes in specific neural networks that hold an updated map of body shape and posture are compatible with the inclusion of tools in the "Body Schema", as if the hand were elongated to the tip of the tool.

1,110 citations

Journal ArticleDOI
TL;DR: The availability of effective therapy for this often lethal disease emphasizes the importance of early and accurate diagnosis, and there is frequently a delay in the diagnosis of LQTS, and patients with syncope are often misdiagnosed.
Abstract: T he idiopathic long QT syndrome (LQTS) is a congenital disease with frequent familial transmission, characterized primarily by prolongation of the QT interval and by the occurrence of life-threatening tachyarrhythmias, particularly in association with emotional or physical stress.1-5 Among untreated symptomatic patients, lethality is high, with 20% mortality in the first year after the initial syncope and approximately 50% within 10 years3; however, the risk of death varies among different families. This poor prognosis has been significantly improved by the use of pharmacological or surgical antiadrenergic therapy or both, which has reduced long-term mortality to <5%.3,4,6 The availability of effective therapy for this often lethal disease emphasizes the importance of early and accurate diagnosis. Unfortunately, there is frequently a delay in the diagnosis of LQTS, and patients with syncope are often misdiagnosed, most commonly as affected by a seizure disorder. In its most characteristic presentation, with obvious QT prolongation and stress-induced syncope, the diagnosis of LQTS is quite straightforward for physicians aware of the disease. In cases of borderline QT prolongation and/or absence of symptoms, however, a correct diagnosis may be more difficult. It was for this reason that a first set of diagnostic criteria (Table 1) was proposed in 1985.3 The major merit of that proposal was that it provided a logical and quantitative approach to the clinical diagnosis of LQTS by giving a different weight to major and minor criteria. Its major limitation was that it used the traditional, but untested for diagnostic purposes, cutoff value of QT, >440 msec '2. This also resulted in a rather black-and-white situation in which patients were judged to have an entirely normal or abnormal duration of ventricular repolarization on the basis of a difference of a few milliseconds in a measurement fraught with difficulties, such as interobserver variability.7

1,106 citations

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 Salomaa16, 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 Gu34, Susan E. Hankinson34, David J. Hunter34, Albert Hofman38, Henning Tiemeier38, André G. Uitterlinden38, Cornelia M. van Duijn38, Stefan Walter38, Daniel I. Chasman34, Brendan M. Everett34, Guillaume Paré34, Paul M. Ridker34, 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 Kraft34, 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


Authors

Showing all 58902 results

NameH-indexPapersCitations
Yi Cui2201015199725
Peter J. Barnes1941530166618
Thomas C. Südhof191653118007
Charles A. Dinarello1901058139668
Alberto Mantovani1831397163826
John J.V. McMurray1781389184502
Giuseppe Remuzzi1721226160440
Russel J. Reiter1691646121010
Jean Louis Vincent1611667163721
Tobin J. Marks1591621111604
Tomas Hökfelt158103395979
José Baselga156707122498
Naveed Sattar1551326116368
Silvia Franceschi1551340112504
Frederik Barkhof1541449104982
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023240
2022777
20219,390
20209,000
20197,475
20186,804