A road map for efficient and reliable human genome epidemiology

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dc.contributor.authorIoannidis, J. P.en
dc.contributor.authorGwinn, M.en
dc.contributor.authorLittle, J.en
dc.contributor.authorHiggins, J. P.en
dc.contributor.authorBernstein, J. L.en
dc.contributor.authorBoffetta, P.en
dc.contributor.authorBondy, M.en
dc.contributor.authorBray, M. S.en
dc.contributor.authorBrenchley, P. E.en
dc.contributor.authorBuffler, P. A.en
dc.contributor.authorCasas, J. P.en
dc.contributor.authorChokkalingam, A.en
dc.contributor.authorDanesh, J.en
dc.contributor.authorSmith, G. D.en
dc.contributor.authorDolan, S.en
dc.contributor.authorDuncan, R.en
dc.contributor.authorGruis, N. A.en
dc.contributor.authorHartge, P.en
dc.contributor.authorHashibe, M.en
dc.contributor.authorHunter, D. J.en
dc.contributor.authorJarvelin, M. R.en
dc.contributor.authorMalmer, B.en
dc.contributor.authorMaraganore, D. M.en
dc.contributor.authorNewton-Bishop, J. A.en
dc.contributor.authorO'Brien, T. R.en
dc.contributor.authorPetersen, G.en
dc.contributor.authorRiboli, E.en
dc.contributor.authorSalanti, G.en
dc.contributor.authorSeminara, D.en
dc.contributor.authorSmeeth, L.en
dc.contributor.authorTaioli, E.en
dc.contributor.authorTimpson, N.en
dc.contributor.authorUitterlinden, A. G.en
dc.contributor.authorVineis, P.en
dc.contributor.authorWareham, N.en
dc.contributor.authorWinn, D. M.en
dc.contributor.authorZimmern, R.en
dc.contributor.authorKhoury, M. J.en
dc.date.accessioned2015-11-24T19:39:12Z
dc.date.available2015-11-24T19:39:12Z
dc.identifier.issn1061-4036-
dc.identifier.urihttps://olympias.lib.uoi.gr/jspui/handle/123456789/24222
dc.rightsDefault Licence-
dc.subjectDatabases, Factualen
dc.subject*Epidemiologic Methodsen
dc.subjectGenetic Predisposition to Diseaseen
dc.subject*Genome, Humanen
dc.subjectHuman Genome Projecten
dc.subjectHumansen
dc.subjectMedlineen
dc.subjectResearch Designen
dc.titleA road map for efficient and reliable human genome epidemiologyen
heal.abstractNetworks of investigators have begun sharing best practices, tools and methods for analysis of associations between genetic variation and common diseases. A Network of Investigator Networks has been set up to drive the process, sponsored by the Human Genome Epidemiology Network. A workshop is planned to develop consensus guidelines for reporting results of genetic association studies. Published literature databases will be integrated, and unpublished data, including 'negative' studies, will be captured by online journals and through investigator networks. Systematic reviews will be expanded to include more meta-analyses of individual-level data and prospective meta-analyses. Field synopses will offer regularly updated overviews.en
heal.accesscampus-
heal.fullTextAvailabilityTRUE-
heal.identifier.secondaryhttp://www.ncbi.nlm.nih.gov/pubmed/16468121-
heal.journalNameNat Geneten
heal.journalTypepeer-reviewed-
heal.languageen-
heal.publicationDate2006-
heal.recordProviderΠανεπιστήμιο Ιωαννίνων. Σχολή Επιστημών Υγείας. Τμήμα Ιατρικήςel
heal.typejournalArticle-
heal.type.elΆρθρο Περιοδικούel
heal.type.enJournal articleen

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