Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Ioan Nicolae Mateș"'
Autor:
Viorel Jinga, Dana Mateș, Violeta Calota, Ioan Nicolae Mateș, Irma Eva Csiki, Agripina Rașcu, Marina Ruxandra Oțelea, Nicoleta Suciu, Angelica Voinoiu, Andrei Manolescu, Ștefan Alexandru Rașcu, Cătălin Alexandru Staicu, Paul D. Iordache
Publikováno v:
Romanian Journal of Occupational Medicine. 70:38-45
Several occupational carcinogens (arsenic, cadmium) and industries (rubber production) have been associated with prostate cancer risk but most of the data are from studies conducted on screened populations. Here we explored this association in Romani
Autor:
Manon Delahaye-Sourdeix, Javier Oliver, Maria N Timofeeva, Valérie Gaborieau, Mattias Johansson, Amélie Chabrier, Magdalena B Wozniak, Darren R Brenner, Maxime P Vallée, Devasena Anantharaman, Pagona Lagiou, Ivana Holcátová, Lorenzo Richiardi, Kristina Kjaerheim, Antonio Agudo, Xavier Castellsagué, Tatiana V Macfarlane, Luigi Barzan, Cristina Canova, Nalin S Thakker, David I Conway, Ariana Znaor, Claire M Healy, Wolfgang Ahrens, David Zaridze, Neonilia Szeszenia-Dabrowska, Jolanta Lissowska, Eleonora Fabianova, Ioan Nicolae Mates, Vladimir Bencko, Lenka Foretova, Vladimir Janout, Maria Paula Curado, Sergio Koifman, Ana Menezes, Victor Wünsch-Filho, José Eluf-Neto, Paolo Boffetta, Leticia Fernández Garrote, Diego Serraino, Marcin Lener, Ewa Jaworowska, Jan Lubiński, Stefania Boccia, Thangarajan Rajkumar, Tanuja A Samant, Manoj B Mahimkar, Keitaro Matsuo, Silvia Franceschi, Graham Byrnes, Paul Brennan, James D McKay
Publikováno v:
PLoS ONE, Vol 10, Iss 3, p e0117639 (2015)
Genetic variants located within the 12p13.33/RAD52 locus have been associated with lung squamous cell carcinoma (LUSC). Here, within 5,947 UADT cancers and 7,789 controls from 9 different studies, we found rs10849605, a common intronic variant in RAD
Externí odkaz:
https://doaj.org/article/73280c2808684cd9b5955e32da547b6e
Autor:
Mattias Johansson, Angus Roberts, Dan Chen, Yaoyong Li, Manon Delahaye-Sourdeix, Niraj Aswani, Mark A Greenwood, Simone Benhamou, Pagona Lagiou, Ivana Holcátová, Lorenzo Richiardi, Kristina Kjaerheim, Antonio Agudo, Xavier Castellsagué, Tatiana V Macfarlane, Luigi Barzan, Cristina Canova, Nalin S Thakker, David I Conway, Ariana Znaor, Claire M Healy, Wolfgang Ahrens, David Zaridze, Neonilia Szeszenia-Dabrowska, Jolanta Lissowska, Eleonóra Fabiánová, Ioan Nicolae Mates, Vladimir Bencko, Lenka Foretova, Vladimir Janout, Maria Paula Curado, Sergio Koifman, Ana Menezes, Victor Wünsch-Filho, Jose Eluf-Neto, Paolo Boffetta, Silvia Franceschi, Rolando Herrero, Leticia Fernandez Garrote, Renato Talamini, Stefania Boccia, Pilar Galan, Lars Vatten, Peter Thomson, Diana Zelenika, Mark Lathrop, Graham Byrnes, Hamish Cunningham, Paul Brennan, Jon Wakefield, James D McKay
Publikováno v:
PLoS ONE, Vol 7, Iss 5, p e36888 (2012)
Genome-wide association studies (GWAS) require large sample sizes to obtain adequate statistical power, but it may be possible to increase the power by incorporating complementary data. In this study we investigated the feasibility of automatically r
Externí odkaz:
https://doaj.org/article/c7c5fa4441ad4f948ef8ff3ff1c14f8c