• Login
    View Item 
    •   Home
    • The Manchester Institute Cancer Research UK
    • All Paterson Institute for Cancer Research
    • View Item
    •   Home
    • The Manchester Institute Cancer Research UK
    • All Paterson Institute for Cancer Research
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of ChristieCommunitiesTitleAuthorsIssue DateSubmit DateSubjectsThis CollectionTitleAuthorsIssue DateSubmit DateSubjectsProfilesView

    My Account

    LoginRegister

    Local Links

    The Christie WebsiteChristie Library and Knowledge Service

    Statistics

    Display statistics

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

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Authors
    Johansson, M
    Roberts, A
    Chen, D
    Li, Yaoyong
    Delahaye-Sourdeix, M
    Aswani, N
    Greenwood, M
    Benhamou, S
    Lagiou, P
    Holcátová, I
    Richiardi, L
    Kjaerheim, K
    Agudo, A
    Castellsagué, X
    Macfarlane, T
    Barzan, L
    Canova, C
    Thakker, N
    Conway, D
    Znaor, A
    Healy, C
    Ahrens, W
    Zaridze, D
    Szeszenia-Dabrowska, N
    Lissowska, J
    Fabiánová, E
    Mates, I
    Bencko, V
    Foretova, L
    Janout, V
    Curado, M
    Koifman, S
    Menezes,
    Wünsch-Filho, V
    Eluf-Neto, J
    Boffetta, P
    Franceschi, S
    Herrero, R
    Fernandez Garrote, L
    Talamini, R
    Boccia, S
    Galan, P
    Vatten, L
    Thomson, P
    Zelenika, D
    Lathrop, M
    Byrnes, G
    Cunningham, H
    Brennan, Paul
    Wakefield, J
    McKay, J
    Show allShow less
    Affiliation
    Section of Genetics, International Agency for Research on Cancer (IARC), Lyon, France.
    Issue Date
    2012
    
    Metadata
    Show full item record
    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.
    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
    URI
    http://hdl.handle.net/10541/240454
    DOI
    10.1371/journal.pone.0036888
    PubMed ID
    22662130
    Type
    Article
    Language
    en
    ISSN
    1932-6203
    ae974a485f413a2113503eed53cd6c53
    10.1371/journal.pone.0036888
    Scopus Count
    Collections
    All Paterson Institute for Cancer Research

    entitlement

    Related articles

    • Bayesian statistical methods in genetic association studies: Empirical examination of statistically non-significant Genome Wide Association Study (GWAS) meta-analyses in cancers: A systematic review.
    • Authors: Park JH, Geum DI, Eisenhut M, van der Vliet HJ, Shin JI
    • Issue date: 2019 Feb 15
    • A colorectal cancer susceptibility new variant at 4q26 in the Spanish population identified by genome-wide association analysis.
    • Authors: Real LM, Ruiz A, Gayán J, González-Pérez A, Sáez ME, Ramírez-Lorca R, Morón FJ, Velasco J, Marginet-Flinch R, Musulén E, Carrasco JM, Moreno-Rey C, Vázquez E, Chaves-Conde M, Moreno-Nogueira JA, Hidalgo-Pascual M, Ferrero-Herrero E, Castellví-Bel S, Castells A, Fernandez-Rozadilla C, Ruiz-Ponte C, Carracedo A, González B, Alonso S, Perucho M
    • Issue date: 2014
    • Genome-wide Gene-Asbestos Exposure Interaction Association Study Identifies a Common Susceptibility Variant on 22q13.31 Associated with Lung Cancer Risk.
    • Authors: Liu CY, Stücker I, Chen C, Goodman G, McHugh MK, D'Amelio AM Jr, Etzel CJ, Li S, Lin X, Christiani DC
    • Issue date: 2015 Oct
    • A genome-wide association study of upper aerodigestive tract cancers conducted within the INHANCE consortium.
    • Authors: McKay JD, Truong T, Gaborieau V, Chabrier A, Chuang SC, Byrnes G, Zaridze D, Shangina O, Szeszenia-Dabrowska N, Lissowska J, Rudnai P, Fabianova E, Bucur A, Bencko V, Holcatova I, Janout V, Foretova L, Lagiou P, Trichopoulos D, Benhamou S, Bouchardy C, Ahrens W, Merletti F, Richiardi L, Talamini R, Barzan L, Kjaerheim K, Macfarlane GJ, Macfarlane TV, Simonato L, Canova C, Agudo A, Castellsagué X, Lowry R, Conway DI, McKinney PA, Healy CM, Toner ME, Znaor A, Curado MP, Koifman S, Menezes A, Wünsch-Filho V, Neto JE, Garrote LF, Boccia S, Cadoni G, Arzani D, Olshan AF, Weissler MC, Funkhouser WK, Luo J, Lubiński J, Trubicka J, Lener M, Oszutowska D, Schwartz SM, Chen C, Fish S, Doody DR, Muscat JE, Lazarus P, Gallagher CJ, Chang SC, Zhang ZF, Wei Q, Sturgis EM, Wang LE, Franceschi S, Herrero R, Kelsey KT, McClean MD, Marsit CJ, Nelson HH, Romkes M, Buch S, Nukui T, Zhong S, Lacko M, Manni JJ, Peters WH, Hung RJ, McLaughlin J, Vatten L, Njølstad I, Goodman GE, Field JK, Liloglou T, Vineis P, Clavel-Chapelon F, Palli D, Tumino R, Krogh V, Panico S, González CA, Quirós JR, Martínez C, Navarro C, Ardanaz E, Larrañaga N, Khaw KT, Key T, Bueno-de-Mesquita HB, Peeters PH, Trichopoulou A, Linseisen J, Boeing H, Hallmans G, Overvad K, Tjønneland A, Kumle M, Riboli E, Välk K, Vooder T, Metspalu A, Zelenika D, Boland A, Delepine M, Foglio M, Lechner D, Blanché H, Gut IG, Galan P, Heath S, Hashibe M, Hayes RB, Boffetta P, Lathrop M, Brennan P
    • Issue date: 2011 Mar
    • A genome-wide association study for genetic susceptibility to Mycobacterium bovis infection in dairy cattle identifies a susceptibility QTL on chromosome 23.
    • Authors: Richardson IW, Berry DP, Wiencko HL, Higgins IM, More SJ, McClure J, Lynn DJ, Bradley DG
    • Issue date: 2016 Mar 9
    DSpace software (copyright © 2002 - 2025)  DuraSpace
    Quick Guide | Contact Us
    Open Repository is a service operated by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.