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

Hdl Handle:
http://hdl.handle.net/10147/288446
Title:
Using prior information from the medical literature in GWAS of oral cancer identifies novel susceptibility variant on chromosome 4--the AdAPT method.
Authors:
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
Affiliation:
Section of Genetics, International Agency for Research on Cancer (IARC), Lyon, France. johanssonm@iarc.fr
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
Journal:
PloS one
Issue Date:
2012
URI:
http://hdl.handle.net/10147/288446
DOI:
10.1371/journal.pone.0036888
PubMed ID:
22662130
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.
Item Type:
Article
Language:
en
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
ISSN:
1932-6203

Full metadata record

DC FieldValue Language
dc.contributor.authorJohansson, Mattiasen_GB
dc.contributor.authorRoberts, Angusen_GB
dc.contributor.authorChen, Danen_GB
dc.contributor.authorLi, Yaoyongen_GB
dc.contributor.authorDelahaye-Sourdeix, Manonen_GB
dc.contributor.authorAswani, Nirajen_GB
dc.contributor.authorGreenwood, Mark Aen_GB
dc.contributor.authorBenhamou, Simoneen_GB
dc.contributor.authorLagiou, Pagonaen_GB
dc.contributor.authorHolcátová, Ivanaen_GB
dc.contributor.authorRichiardi, Lorenzoen_GB
dc.contributor.authorKjaerheim, Kristinaen_GB
dc.contributor.authorAgudo, Antonioen_GB
dc.contributor.authorCastellsagué, Xavieren_GB
dc.contributor.authorMacfarlane, Tatiana Ven_GB
dc.contributor.authorBarzan, Luigien_GB
dc.contributor.authorCanova, Cristinaen_GB
dc.contributor.authorThakker, Nalin Sen_GB
dc.contributor.authorConway, David Ien_GB
dc.contributor.authorZnaor, Arianaen_GB
dc.contributor.authorHealy, Claire Men_GB
dc.contributor.authorAhrens, Wolfgangen_GB
dc.contributor.authorZaridze, Daviden_GB
dc.contributor.authorSzeszenia-Dabrowska, Neoniliaen_GB
dc.contributor.authorLissowska, Jolantaen_GB
dc.contributor.authorFabiánová, Eleonóraen_GB
dc.contributor.authorMates, Ioan Nicolaeen_GB
dc.contributor.authorBencko, Vladimiren_GB
dc.contributor.authorForetova, Lenkaen_GB
dc.contributor.authorJanout, Vladimiren_GB
dc.contributor.authorCurado, Maria Paulaen_GB
dc.contributor.authorKoifman, Sergioen_GB
dc.contributor.authorMenezes, Anaen_GB
dc.contributor.authorWünsch-Filho, Victoren_GB
dc.contributor.authorEluf-Neto, Joseen_GB
dc.contributor.authorBoffetta, Paoloen_GB
dc.contributor.authorFranceschi, Silviaen_GB
dc.contributor.authorHerrero, Rolandoen_GB
dc.contributor.authorFernandez Garrote, Leticiaen_GB
dc.contributor.authorTalamini, Renatoen_GB
dc.contributor.authorBoccia, Stefaniaen_GB
dc.contributor.authorGalan, Pilaren_GB
dc.contributor.authorVatten, Larsen_GB
dc.contributor.authorThomson, Peteren_GB
dc.contributor.authorZelenika, Dianaen_GB
dc.contributor.authorLathrop, Marken_GB
dc.contributor.authorByrnes, Grahamen_GB
dc.contributor.authorCunningham, Hamishen_GB
dc.contributor.authorBrennan, Paulen_GB
dc.contributor.authorWakefield, Jonen_GB
dc.contributor.authorMcKay, James Den_GB
dc.date.accessioned2013-05-02T21:27:06Z-
dc.date.available2013-05-02T21:27:06Z-
dc.date.issued2012-
dc.identifier.citationUsing 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 ONEen_GB
dc.identifier.issn1932-6203-
dc.identifier.pmid22662130-
dc.identifier.doi10.1371/journal.pone.0036888-
dc.identifier.urihttp://hdl.handle.net/10147/288446-
dc.description.abstractGenome-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.en_GB
dc.language.isoenen
dc.rightsArchived with thanks to PloS oneen_GB
dc.subject.meshBayes Theorem-
dc.subject.meshChromosomes, Human, Pair 4-
dc.subject.meshComputational Biology-
dc.subject.meshGenetic Predisposition to Disease-
dc.subject.meshGenome-Wide Association Study-
dc.subject.meshHumans-
dc.subject.meshInternet-
dc.subject.meshLung Neoplasms-
dc.subject.meshMouth Neoplasms-
dc.subject.meshPolymorphism, Single Nucleotide-
dc.subject.meshReproducibility of Results-
dc.titleUsing prior information from the medical literature in GWAS of oral cancer identifies novel susceptibility variant on chromosome 4--the AdAPT method.en_GB
dc.typeArticleen
dc.contributor.departmentSection of Genetics, International Agency for Research on Cancer (IARC), Lyon, France. johanssonm@iarc.fren_GB
dc.identifier.journalPloS oneen_GB
dc.description.provinceLeinsteren

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