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Institution

International Agency for Research on Cancer

GovernmentLyon, France
About: International Agency for Research on Cancer is a government organization based out in Lyon, France. It is known for research contribution in the topics: Cancer & Population. The organization has 2989 authors who have published 9010 publications receiving 929752 citations. The organization is also known as: IARC.


Papers
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Journal ArticleDOI
TL;DR: The continuing rise in lung cancer among women in many countries reinforces the need for targeted smoking cessation efforts alongside preventive actions.

308 citations

Journal ArticleDOI
James McKay1, Thérèse Truong1, Valerie Gaborieau1, Amelie Chabrier1, Shu Chun Chuang1, Graham Byrnes1, David Zaridze2, Oxana Shangina2, Neonila Szeszenia-Dabrowska3, Jolanta Lissowska4, Peter Rudnai, Eleonora Fabianova, Alexandru Bucur, Vladimir Bencko5, Ivana Holcatova5, Vladimir Janout, Lenka Foretova, Pagona Lagiou6, Dimitrios Trichopoulos7, Simone Benhamou8, Christine Bouchardy, Wolfgang Ahrens9, Franco Merletti10, Lorenzo Richiardi10, Renato Talamini, Luigi Barzan, Kristina Kjærheim, Gary J. Macfarlane11, Tatiana V. Macfarlane11, Lorenzo Simonato12, Cristina Canova13, Cristina Canova12, Antonio Agudo, Xavier Castellsagué, Ray Lowry14, David I. Conway15, Patricia A. McKinney16, Claire M. Healy17, Mary Toner17, Ariana Znaor, Maria Paula Curado1, Sergio Koifman18, Ana M. B. Menezes19, Victor Wünsch-Filho20, José Eluf Neto20, Leticia Fernández Garrote, Stefania Boccia21, Gabriella Cadoni21, Dario Arzani21, Andrew F. Olshan22, Mark C. Weissler22, William K. Funkhouser22, Jingchun Luo22, Jan Lubinski23, Joanna Trubicka23, Marcin Lener23, Dorota Oszutowska23, Stephen M. Schwartz24, Chu Chen24, Sherianne Fish24, David R. Doody24, Joshua E. Muscat25, Philip Lazarus25, Carla J. Gallagher25, Shen Chih Chang26, Zuo-Feng Zhang26, Qingyi Wei27, Erich M. Sturgis27, Li E. Wang27, Silvia Franceschi1, Rolando Herrero, Karl T. Kelsey28, Michael D. McClean29, Carmen J. Marsit28, Heather H. Nelson30, Marjorie Romkes31, Shama Buch31, Tomoko Nukui31, Shilong Zhong31, Martin Lacko32, Johannes J. Manni32, Wilbert H.M. Peters33, Rayjean J. Hung34, John R. McLaughlin35, Lars J. Vatten36, Inger Njølstad, Gary E. Goodman24, John K. Field37, Triantafillos Liloglou37, Paolo Vineis10, Paolo Vineis13, Françoise Clavel-Chapelon8, Domenico Palli, Rosario Tumino, Vittorio Krogh, Salvatore Panico38, Carlos A. González, J. Ramón Quirós, Carmen Enid Martínez, Carmen Navarro, Eva Ardanaz, Nerea Larrañaga, Kay-Tee Khaw39, Timothy J. Key40, H. Bas Bueno-de-Mesquita, Petra H.M. Peeters41, Antonia Trichopoulou6, Jakob Linseisen42, Heiner Boeing, Göran Hallmans43, Kim Overvad44, Anne Tjønneland, Merethe Kumle45, Elio Riboli13, Kristjan Välk46, Tõnu Voodern46, Andres Metspalu46, Diana Zelenika, Anne Boland, Marc Delepine, Mario Foglio, Doris Lechner, Hélène Blanché, Ivo Gut, Pilar Galan47, Simon Heath, Mia Hashibe1, Richard B. Hayes48, Paolo Boffetta1, Mark Lathrop, Paul Brennan1 
TL;DR: A genome-wide association study to identify common genetic variation involved in susceptibility to upper aero-digestive tract (UADT) cancers implicate two variants at 4q21 and 12q24 and further highlight three ADH variants in UADT cancer susceptibility.
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.

308 citations

Journal ArticleDOI
TL;DR: If one aim of a study is to detect interactions, the size of the study will have to be at least four times larger than if attention were confined to detecting main effects of the same magnitude.
Abstract: This paper considers quantitatively the extent to which the interaction or confounding effects of covariates may influence the design of case-control studies with particular reference to sample requirements and the role of matching. For the most part, attention is confined to a dichotomous exposure variable, and a single dichotomous covariate. Adjustment for confounding variables appears to have little effect on the power of a study unless they are strongly (odds ratio of 5 or more) related to both the disease and the exposure of interest, and only in similar circumstances will matching be of appreciable value. Matching also makes only a small improvement in the power to detect interaction effects, except under fairly extreme conditions. Both to control confounding and to detect interaction, the effect of matching may sometimes be to reduce the power of a study. The difference in power between matched and unmatched studies diminishes rapidly as the control-to-case ratio is increased. The implications of interaction effects for sample size requirements are more important. If one aim of a study is to detect interactions, the size of the study will have to be at least four times larger than if attention were confined to detecting main effects of the same magnitude. These conclusions are based on a quantitative evaluation of a wide range of possible situations.

307 citations

Journal ArticleDOI
TL;DR: The Northern Sweden FFQ measurements have good reproducibility and an estimated level of validity similar to that ofFFQ measurements in other prospective cohort studies, and indicate that relative risk estimates corresponding to an absolute difference in dietary intake levels measured by the FFQ will generally be biased towards 1.0.
Abstract: OBJECTIVES: To evaluate the reproducibility of, and to compare and calibrate, diet measures by the Northern Sweden 84-item food-frequency questionnaire (FFQ) with measures from 24-hour diet recalls ...

307 citations

Journal ArticleDOI
TL;DR: It can be concluded that, among HPV positive women, high parity, long-term OC use, smoking, and co-infection with other sexually transmitted agents are the most consistently identified environmental co-factors likely to influence the risk of progression from cervical HPV infection to HSIL and invasive CC.

307 citations


Authors

Showing all 3012 results

NameH-indexPapersCitations
David J. Hunter2131836207050
Kay-Tee Khaw1741389138782
Elio Riboli1581136110499
Silvia Franceschi1551340112504
Stephen J. Chanock1541220119390
Paolo Boffetta148145593876
Timothy J. Key14680890810
Hans-Olov Adami14590883473
Joseph J.Y. Sung142124092035
Heiner Boeing140102492580
Anne Tjønneland139134591556
Kim Overvad139119686018
Sheila Bingham13651967332
Pasi A. Jänne13668589488
Peter Kraft13582182116
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20238
202233
2021483
2020495
2019423
2018400