Using prior information from the medical literature in GWAS of oral cancer identifies novel susceptibility variant on chromosome 4--the AdAPT method.
dc.contributor.author | Johansson, Mattias | |
dc.contributor.author | Roberts, Angus | |
dc.contributor.author | Chen, Dan | |
dc.contributor.author | Li, Yaoyong | |
dc.contributor.author | Delahaye-Sourdeix, Manon | |
dc.contributor.author | Aswani, Niraj | |
dc.contributor.author | Greenwood, Mark A | |
dc.contributor.author | Benhamou, Simone | |
dc.contributor.author | Lagiou, Pagona | |
dc.contributor.author | Holcátová, Ivana | |
dc.contributor.author | Richiardi, Lorenzo | |
dc.contributor.author | Kjaerheim, Kristina | |
dc.contributor.author | Agudo, Antonio | |
dc.contributor.author | Castellsagué, Xavier | |
dc.contributor.author | Macfarlane, Tatiana V | |
dc.contributor.author | Barzan, Luigi | |
dc.contributor.author | Canova, Cristina | |
dc.contributor.author | Thakker, Nalin S | |
dc.contributor.author | Conway, David I | |
dc.contributor.author | Znaor, Ariana | |
dc.contributor.author | Healy, Claire M | |
dc.contributor.author | Ahrens, Wolfgang | |
dc.contributor.author | Zaridze, David | |
dc.contributor.author | Szeszenia-Dabrowska, Neonilia | |
dc.contributor.author | Lissowska, Jolanta | |
dc.contributor.author | Fabiánová, Eleonóra | |
dc.contributor.author | Mates, Ioan Nicolae | |
dc.contributor.author | Bencko, Vladimir | |
dc.contributor.author | Foretova, Lenka | |
dc.contributor.author | Janout, Vladimir | |
dc.contributor.author | Curado, Maria Paula | |
dc.contributor.author | Koifman, Sergio | |
dc.contributor.author | Menezes, Ana | |
dc.contributor.author | Wünsch-Filho, Victor | |
dc.contributor.author | Eluf-Neto, Jose | |
dc.contributor.author | Boffetta, Paolo | |
dc.contributor.author | Franceschi, Silvia | |
dc.contributor.author | Herrero, Rolando | |
dc.contributor.author | Fernandez Garrote, Leticia | |
dc.contributor.author | Talamini, Renato | |
dc.contributor.author | Boccia, Stefania | |
dc.contributor.author | Galan, Pilar | |
dc.contributor.author | Vatten, Lars | |
dc.contributor.author | Thomson, Peter | |
dc.contributor.author | Zelenika, Diana | |
dc.contributor.author | Lathrop, Mark | |
dc.contributor.author | Byrnes, Graham | |
dc.contributor.author | Cunningham, Hamish | |
dc.contributor.author | Brennan, Paul | |
dc.contributor.author | Wakefield, Jon | |
dc.contributor.author | McKay, James D | |
dc.date.accessioned | 2013-05-02T21:27:06Z | |
dc.date.available | 2013-05-02T21:27:06Z | |
dc.date.issued | 2012 | |
dc.identifier.citation | Using prior information from the medical literature in GWAS of oral cancer identifies novel susceptibility variant on chromosome 4--the AdAPT method. 2012, 7 (5):e36888 PLoS ONE | en_GB |
dc.identifier.issn | 1932-6203 | |
dc.identifier.pmid | 22662130 | |
dc.identifier.doi | 10.1371/journal.pone.0036888 | |
dc.identifier.uri | http://hdl.handle.net/10147/288446 | |
dc.description.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. | |
dc.language.iso | en | en |
dc.rights | Archived with thanks to PloS one | en_GB |
dc.subject.mesh | Bayes Theorem | |
dc.subject.mesh | Chromosomes, Human, Pair 4 | |
dc.subject.mesh | Computational Biology | |
dc.subject.mesh | Genetic Predisposition to Disease | |
dc.subject.mesh | Genome-Wide Association Study | |
dc.subject.mesh | Humans | |
dc.subject.mesh | Internet | |
dc.subject.mesh | Lung Neoplasms | |
dc.subject.mesh | Mouth Neoplasms | |
dc.subject.mesh | Polymorphism, Single Nucleotide | |
dc.subject.mesh | Reproducibility of Results | |
dc.title | Using prior information from the medical literature in GWAS of oral cancer identifies novel susceptibility variant on chromosome 4--the AdAPT method. | en_GB |
dc.type | Article | en |
dc.contributor.department | Section of Genetics, International Agency for Research on Cancer (IARC), Lyon, France. johanssonm@iarc.fr | en_GB |
dc.identifier.journal | PloS one | en_GB |
dc.description.province | Leinster | en |
html.description.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. |