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Your search keyword '"Sergio Koifman"' showing total 4 results
Start Over Author "Sergio Koifman" Publisher public library of science (plos)
4 results on '"Sergio Koifman"'

1. The 12p13.33/RAD52 locus and genetic susceptibility to squamous cell cancers of upper aerodigestive tract.

Author

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, and James D McKay

Subjects
Medicine, Science
Abstract

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 RAD52, to be also associated with upper aerodigestive tract (UADT) squamous cell carcinoma cases (OR = 1.09, 95% CI: 1.04-1.15, p = 6x10(-4)). We additionally identified rs10849605 as a RAD52 cis-eQTL inUADT(p = 1x10(-3)) and LUSC (p = 9x10(-4)) tumours, with the UADT/LUSC risk allele correlated with increased RAD52 expression levels. The 12p13.33 locus, encompassing rs10849605/RAD52, was identified as a significant somatic focal copy number amplification in UADT(n = 374, q-value = 0.075) and LUSC (n = 464, q-value = 0.007) tumors and correlated with higher RAD52 tumor expression levels (p = 6x10(-48) and p = 3x10(-29) in UADT and LUSC, respectively). In combination, these results implicate increased RAD52 expression in both genetic susceptibility and tumorigenesis of UADT and LUSC tumors.

Published
2015
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2. Using prior information from the medical literature in GWAS of oral cancer identifies novel susceptibility variant on chromosome 4--the AdAPT method.

Author

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, and James D McKay

Subjects
Medicine, Science
Abstract

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 retrieving information from the medical literature and leveraging this information in GWAS.We developed a method that searches through PubMed abstracts for pre-assigned keywords and key concepts, and uses this information to assign prior probabilities of association for each single nucleotide polymorphism (SNP) with the phenotype of interest--the Adjusting Association Priors with Text (AdAPT) method. Association results from a GWAS can subsequently be ranked in the context of these priors using the Bayes False Discovery Probability (BFDP) framework. We initially tested AdAPT by comparing rankings of known susceptibility alleles in a previous lung cancer GWAS, and subsequently applied it in a two-phase GWAS of oral cancer.Known lung cancer susceptibility SNPs were consistently ranked higher by AdAPT BFDPs than by p-values. In the oral cancer GWAS, we sought to replicate the top five SNPs as ranked by AdAPT BFDPs, of which rs991316, located in the ADH gene region of 4q23, displayed a statistically significant association with oral cancer risk in the replication phase (per-rare-allele log additive p-value [p(trend)] = 2.5×10(-3)). The combined OR for having one additional rare allele was 0.83 (95% CI: 0.76-0.90), and this association was independent of previously identified susceptibility SNPs that are associated with overall UADT cancer in this gene region. We also investigated if rs991316 was associated with other cancers of the upper aerodigestive tract (UADT), but no additional association signal was found.This study highlights the potential utility of systematically incorporating prior knowledge from the medical literature in genome-wide analyses using the AdAPT methodology. AdAPT is available online (url: http://services.gate.ac.uk/lld/gwas/service/config).

Published
2012
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3. Correction: A Genome-Wide Association Study of Upper Aerodigestive Tract Cancers Conducted within the INHANCE Consortium.

Author

James D. McKay, Therese Truong, Valerie Gaborieau, Amelie Chabrier, Shu-Chun Chuang, Graham Byrnes, David Zaridze, Oxana Shangina, Neonila Szeszenia-Dabrowska, Jolanta Lissowska, Peter Rudnai, Eleonora Fabianova, Alexandru Bucur, Vladimir Bencko, Ivana Holcatova, Vladimir Janout, Lenka Foretova, Pagona Lagiou, Dimitrios Trichopoulos, Simone Benhamou, Christine Bouchardy, Wolfgang Ahrens, Franco Merletti, Lorenzo Richiardi, Renato Talamini, Luigi Barzan, Kristina Kjaerheim, Gary J. Macfarlane, Tatiana V. Macfarlane, Lorenzo Simonato, Cristina Canova, Antonio Agudo, Xavier Castellsagué, Ray Lowry, David I. Conway, Patricia A. McKinney, Claire M. Healy, Mary E. Toner, Ariana Znaor, Maria Paula Curado, Sergio Koifman, Ana Menezes, Victor Wünsch-Filho, José Eluf Neto, Leticia Fernández Garrote, Stefania Boccia, Gabriella Cadoni, Dario Arzani, Andrew F. Olshan, Mark C. Weissler, William K. Funkhouser, Jingchun Luo, Jan Lubiński, Joanna Trubicka, Marcin Lener, Dorota Oszutowska, Stephen M. Schwartz, Chu Chen, Sherianne Fish, David R. Doody, Joshua E. Muscat, Philip Lazarus, Carla J. Gallagher, Shen-Chih Chang, Zuo-Feng Zhang, Qingyi Wei, Erich M. Sturgis, Li-E Wang, Silvia Franceschi, Rolando Herrero, Karl T. Kelsey, Michael D. McClean, Carmen J. Marsit, Heather H. Nelson, Marjorie Romkes, Shama Buch, Tomoko Nukui, Shilong Zhong, Martin Lacko, Johannes J. Manni, Wilbert H. M. Peters, Rayjean J. Hung, John McLaughlin, Lars Vatten, Inger Njølstad, Gary E. Goodman, John K. Field, Triantafillos Liloglou, Paolo Vineis, Francoise Clavel-Chapelon, Domenico Palli, Rosario Tumino, Vittorio Krogh, Salvatore Panico, Carlos A. González, J. Ramón Quirós, Carmen Martínez, Carmen Navarro, Eva Ardanaz, Nerea Larrañaga, Kay-Tee Khaw, Timothy Key, H. Bas Bueno-de-Mesquita, Petra H. M. Peeters, Antonia Trichopoulou, Jakob Linseisen, Heiner Boeing, Göran Hallmans, Kim Overvad, Anne Tjønneland, Merethe Kumle, Elio Riboli, Kristjan Välk, Tõnu Voodern, Andres Metspalu, Diana Zelenika, Anne Boland, Marc Delepine, Mario Foglio, Doris Lechner, Hélène Blanché, Ivo G. Gut, Pilar Galan, Simon Heath, Mia Hashibe, Richard B. Hayes, Paolo Boffetta, Mark Lathrop, and Paul Brennan

Subjects
Genetics, QH426-470
Published
2011
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4. A genome-wide association study of upper aerodigestive tract cancers conducted within the INHANCE consortium.

Author

James D McKay, Therese Truong, Valerie Gaborieau, Amelie Chabrier, Shu-Chun Chuang, Graham Byrnes, David Zaridze, Oxana Shangina, Neonila Szeszenia-Dabrowska, Jolanta Lissowska, Peter Rudnai, Eleonora Fabianova, Alexandru Bucur, Vladimir Bencko, Ivana Holcatova, Vladimir Janout, Lenka Foretova, Pagona Lagiou, Dimitrios Trichopoulos, Simone Benhamou, Christine Bouchardy, Wolfgang Ahrens, Franco Merletti, Lorenzo Richiardi, Renato Talamini, Luigi Barzan, Kristina Kjaerheim, Gary J Macfarlane, Tatiana V Macfarlane, Lorenzo Simonato, Cristina Canova, Antonio Agudo, Xavier Castellsagué, Ray Lowry, David I Conway, Patricia A McKinney, Claire M Healy, Mary E Toner, Ariana Znaor, Maria Paula Curado, Sergio Koifman, Ana Menezes, Victor Wünsch-Filho, José Eluf Neto, Leticia Fernández Garrote, Stefania Boccia, Gabriella Cadoni, Dario Arzani, Andrew F Olshan, Mark C Weissler, William K Funkhouser, Jingchun Luo, Jan Lubiński, Joanna Trubicka, Marcin Lener, Dorota Oszutowska, Stephen M Schwartz, Chu Chen, Sherianne Fish, David R Doody, Joshua E Muscat, Philip Lazarus, Carla J Gallagher, Shen-Chih Chang, Zuo-Feng Zhang, Qingyi Wei, Erich M Sturgis, Li-E Wang, Silvia Franceschi, Rolando Herrero, Karl T Kelsey, Michael D McClean, Carmen J Marsit, Heather H Nelson, Marjorie Romkes, Shama Buch, Tomoko Nukui, Shilong Zhong, Martin Lacko, Johannes J Manni, Wilbert H M Peters, Rayjean J Hung, John McLaughlin, Lars Vatten, Inger Njølstad, Gary E Goodman, John K Field, Triantafillos Liloglou, Paolo Vineis, Francoise Clavel-Chapelon, Domenico Palli, Rosario Tumino, Vittorio Krogh, Salvatore Panico, Carlos A González, J Ramón Quirós, Carmen Martínez, Carmen Navarro, Eva Ardanaz, Nerea Larrañaga, Kay-Tee Khaw, Timothy Key, H Bas Bueno-de-Mesquita, Petra H M Peeters, Antonia Trichopoulou, Jakob Linseisen, Heiner Boeing, Göran Hallmans, Kim Overvad, Anne Tjønneland, Merethe Kumle, Elio Riboli, Kristjan Välk, Tõnu Vooder, Andres Metspalu, Diana Zelenika, Anne Boland, Marc Delepine, Mario Foglio, Doris Lechner, Hélène Blanché, Ivo G Gut, Pilar Galan, Simon Heath, Mia Hashibe, Richard B Hayes, Paolo Boffetta, Mark Lathrop, and Paul Brennan

Subjects
Genetics, QH426-470
Abstract

Genome-wide association studies (GWAS) have been successful in identifying common genetic variation involved in susceptibility to etiologically complex disease. We conducted a GWAS to identify common genetic variation involved in susceptibility to upper aero-digestive tract (UADT) cancers. Genome-wide genotyping was carried out using the Illumina HumanHap300 beadchips in 2,091 UADT cancer cases and 3,513 controls from two large European multi-centre UADT cancer studies, as well as 4,821 generic controls. The 19 top-ranked variants were investigated further in an additional 6,514 UADT cancer cases and 7,892 controls of European descent from an additional 13 UADT cancer studies participating in the INHANCE consortium. Five common variants presented evidence for significant association in the combined analysis (p ≤ 5 × 10⁻⁷). Two novel variants were identified, a 4q21 variant (rs1494961, p = 1×10⁻⁸) located near DNA repair related genes HEL308 and FAM175A (or Abraxas) and a 12q24 variant (rs4767364, p =2 × 10⁻⁸) located in an extended linkage disequilibrium region that contains multiple genes including the aldehyde dehydrogenase 2 (ALDH2) gene. Three remaining variants are located in the ADH gene cluster and were identified previously in a candidate gene study involving some of these samples. The association between these three variants and UADT cancers was independently replicated in 5,092 UADT cancer cases and 6,794 controls non-overlapping samples presented here (rs1573496-ADH7, p = 5 × 10⁻⁸); rs1229984-ADH1B, p = 7 × 10⁻⁹; and rs698-ADH1C, p = 0.02). These results implicate two variants at 4q21 and 12q24 and further highlight three ADH variants in UADT cancer susceptibility.

Published
2011
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