Using prior information from the medical literature in GWAS of oral cancer identifies novel susceptibility variant on chromosome 4--the AdAPT method.
Johansson, Mattias ; Roberts, Angus ; Chen, Dan ; Li, Yaoyong ; Delahaye-Sourdeix, Manon ; Aswani, Niraj ; Greenwood, Mark A ; Benhamou, Simone ; Lagiou, Pagona ; Holcátová, Ivana ... show 10 more
Johansson, Mattias
Roberts, Angus
Chen, Dan
Li, Yaoyong
Delahaye-Sourdeix, Manon
Aswani, Niraj
Greenwood, Mark A
Benhamou, Simone
Lagiou, Pagona
Holcátová, Ivana
Author
Johansson, Mattias
Roberts, Angus
Chen, Dan
Li, Yaoyong
Delahaye-Sourdeix, Manon
Aswani, Niraj
Greenwood, Mark A
Benhamou, Simone
Lagiou, Pagona
Holcátová, Ivana
Richiardi, Lorenzo
Kjaerheim, Kristina
Agudo, Antonio
Castellsagué, Xavier
Macfarlane, Tatiana V
Barzan, Luigi
Canova, Cristina
Thakker, Nalin S
Conway, David I
Znaor, Ariana
Healy, Claire M
Ahrens, Wolfgang
Zaridze, David
Szeszenia-Dabrowska, Neonilia
Lissowska, Jolanta
Fabiánová, Eleonóra
Mates, Ioan Nicolae
Bencko, Vladimir
Foretova, Lenka
Janout, Vladimir
Curado, Maria Paula
Koifman, Sergio
Menezes, Ana
Wünsch-Filho, Victor
Eluf-Neto, Jose
Boffetta, Paolo
Franceschi, Silvia
Herrero, Rolando
Fernandez Garrote, Leticia
Talamini, Renato
Boccia, Stefania
Galan, Pilar
Vatten, Lars
Thomson, Peter
Zelenika, Diana
Lathrop, Mark
Byrnes, Graham
Cunningham, Hamish
Brennan, Paul
Wakefield, Jon
McKay, James D
Roberts, Angus
Chen, Dan
Li, Yaoyong
Delahaye-Sourdeix, Manon
Aswani, Niraj
Greenwood, Mark A
Benhamou, Simone
Lagiou, Pagona
Holcátová, Ivana
Richiardi, Lorenzo
Kjaerheim, Kristina
Agudo, Antonio
Castellsagué, Xavier
Macfarlane, Tatiana V
Barzan, Luigi
Canova, Cristina
Thakker, Nalin S
Conway, David I
Znaor, Ariana
Healy, Claire M
Ahrens, Wolfgang
Zaridze, David
Szeszenia-Dabrowska, Neonilia
Lissowska, Jolanta
Fabiánová, Eleonóra
Mates, Ioan Nicolae
Bencko, Vladimir
Foretova, Lenka
Janout, Vladimir
Curado, Maria Paula
Koifman, Sergio
Menezes, Ana
Wünsch-Filho, Victor
Eluf-Neto, Jose
Boffetta, Paolo
Franceschi, Silvia
Herrero, Rolando
Fernandez Garrote, Leticia
Talamini, Renato
Boccia, Stefania
Galan, Pilar
Vatten, Lars
Thomson, Peter
Zelenika, Diana
Lathrop, Mark
Byrnes, Graham
Cunningham, Hamish
Brennan, Paul
Wakefield, Jon
McKay, James D
Advisors
Editors
Other Contributors
Date
2012
Date Submitted
Keywords
Other Subjects
Subject Mesh
Bayes Theorem
Chromosomes, Human, Pair 4
Computational Biology
Genetic Predisposition to Disease
Genome-Wide Association Study
Humans
Internet
Lung Neoplasms
Mouth Neoplasms
Polymorphism, Single Nucleotide
Reproducibility of Results
Chromosomes, Human, Pair 4
Computational Biology
Genetic Predisposition to Disease
Genome-Wide Association Study
Humans
Internet
Lung Neoplasms
Mouth Neoplasms
Polymorphism, Single Nucleotide
Reproducibility of Results
Planned Date
Start Date
Collaborators
Principal Investigators
Alternative Titles
Publisher
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.
Language
en
ISSN
1932-6203
eISSN
ISBN
DOI
10.1371/journal.pone.0036888
PMID
22662130
