Institution
International Agency for Research on Cancer
Government•Lyon, 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.
Topics: Cancer, Population, Breast cancer, Risk factor, European Prospective Investigation into Cancer and Nutrition
Papers published on a yearly basis
Papers
More filters
TL;DR: This report provides a description of the criteria for inclusion of data and of the current formats, a summary of the relevance ofp53 mutation analysis to clinical and biological questions, and a brief discussion of the prospects for future developments.
Abstract: In recent years, there has been an exponential increase in the number of p53 mutations identified in human cancers. The p53 mutation database consists of a list of point mutations in thep53 gene of human tumors and cell lines, compiled from the published literature and made available through electronic media. The database is now maintained at the International Agency for Research on Cancer (IARC) and is updated twice a year. The current version contains records on 5091 published mutations and is expected to surpass the 6000 mark in the January 1997 release. The database is available in various formats through the European Bioinformatics Institute (EBI) ftp server at: ftp://ftp.ebi.ac.uk/pub/databases/p53/ or by request from IARC (p53database@iarc.fr) and will be searchable through the SRS system in the near future. This report provides a description of the criteria for inclusion of data and of the current formats, a summary of the relevance ofp53 mutation analysis to clinical and biological questions, and a brief discussion of the prospects for future developments.
316 citations
University of Bonn1, Forschungszentrum Jülich2, German Center for Neurodegenerative Diseases3, University of Göttingen4, Heidelberg University5, Aarhus University6, University of Basel7, University of Würzburg8, University of Liverpool9, Max Planck Society10, University of Tübingen11, University of Duisburg-Essen12, Poznan University of Medical Sciences13, Nofer Institute of Occupational Medicine14, International Agency for Research on Cancer15, University of New South Wales16, Black Dog Institute17, Neuroscience Research Australia18, QIMR Berghofer Medical Research Institute19, Russian Academy20, Kursk State Medical University21, Russian Academy of Sciences22, Dalhousie University23, University of Toronto24, Montreal Neurological Institute and Hospital25, McGill University26, Université du Québec à Chicoutimi27
TL;DR: Results from the largest BD GWAS to date are presented by investigating 2.3 million single-nucleotide polymorphisms (SNPs) in a sample of 24,025 patients and controls and detecting 56 genome-wide significant SNPs in five chromosomal regions including previously reported risk loci ANK3, ODZ4 and TRANK1.
Abstract: Bipolar disorder (BD) is a common and highly heritable mental illness and genome-wide association studies (GWAS) have robustly identified the first common genetic variants involved in disease aetiology. The data also provide strong evidence for the presence of multiple additional risk loci, each contributing a relatively small effect to BD susceptibility. Large samples are necessary to detect these risk loci. Here we present results from the largest BD GWAS to date by investigating 2.3 million single-nucleotide polymorphisms (SNPs) in a sample of 24,025 patients and controls. We detect 56 genome-wide significant SNPs in five chromosomal regions including previously reported risk loci ANK3, ODZ4 and TRANK1, as well as the risk locus ADCY2 (5p15.31) and a region between MIR2113 and POU3F2 (6q16.1). ADCY2 is a key enzyme in cAMP signalling and our finding provides new insights into the biological mechanisms involved in the development of BD.
315 citations
International Agency for Research on Cancer1, deCODE genetics2, National Institutes of Health3, University of Toronto4, German Cancer Research Center5, Harvard University6, Dartmouth College7, University Health Network8, American Cancer Society9, University of Texas MD Anderson Cancer Center10, Russian Academy11, Nofer Institute of Occupational Medicine12, Curie Institute13, Charles University in Prague14, Norwegian University of Science and Technology15, Fred Hutchinson Cancer Research Center16, French Institute of Health and Medical Research17, University of Tartu18, University of Bergen19, University of Geneva20, Pomeranian Medical University21, Imperial College London22, Institut Gustave Roussy23, Utrecht University24, Academy of Athens25, University of Cambridge26, Umeå University27, University of Tromsø28, Council on Education for Public Health29, Baylor College of Medicine30, Heidelberg University31, University of Göttingen32, Cambridge University Hospitals NHS Foundation Trust33
TL;DR: The analysis demonstrates that imputation can identify rare disease-causing variants with substantive effects on cancer risk from preexisting genome-wide association study data and provides further evidence for inherited genetic susceptibility to lung cancer and its biological basis.
Abstract: We conducted imputation to the 1000 Genomes Project of four genome-wide association studies of lung cancer in populations of European ancestry (11,348 cases and 15,861 controls) and genotyped an additional 10,246 cases and 38,295 controls for follow-up. We identified large-effect genome-wide associations for squamous lung cancer with the rare variants BRCA2 p.Lys3326X (rs11571833, odds ratio (OR) = 2.47, P = 4.74 x 10(-20)) and CHEK2 p.Ile157Thr (rs17879961, OR = 0.38, P = 1.27 x 10(-13)). We also showed an association between common variation at 3q28 (TP63, rs13314271, OR = 1.13, P = 7.22 x 10(-10)) and lung adenocarcinoma that had been previously reported only in Asians. These findings provide further evidence for inherited genetic susceptibility to lung cancer and its biological basis. Additionally, our analysis demonstrates that imputation can identify rare disease-causing variants with substantive effects on cancer risk from preexisting genome-wide association study data.
314 citations
TL;DR: Evidence of a rising burden of both premenopausal and postmenopausal breast cancer worldwide is provided, although early diagnosis and access to treatment remain crucial in low-income and middle-income countries.
313 citations
TL;DR: A global attainment analysis of the feasibility of attaining SDG targets on the basis of past trends and a estimates of health-related SDG index values in countries assessed at the subnational level varied substantially, particularly in China and India, although scores in Japan and the UK were more homogeneous.
312 citations
Authors
Showing all 3012 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| David J. Hunter | 213 | 1836 | 207050 |
| Kay-Tee Khaw | 174 | 1389 | 138782 |
| Elio Riboli | 158 | 1136 | 110499 |
| Silvia Franceschi | 155 | 1340 | 112504 |
| Stephen J. Chanock | 154 | 1220 | 119390 |
| Paolo Boffetta | 148 | 1455 | 93876 |
| Timothy J. Key | 146 | 808 | 90810 |
| Hans-Olov Adami | 145 | 908 | 83473 |
| Joseph J.Y. Sung | 142 | 1240 | 92035 |
| Heiner Boeing | 140 | 1024 | 92580 |
| Anne Tjønneland | 139 | 1345 | 91556 |
| Kim Overvad | 139 | 1196 | 86018 |
| Sheila Bingham | 136 | 519 | 67332 |
| Pasi A. Jänne | 136 | 685 | 89488 |
| Peter Kraft | 135 | 821 | 82116 |