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dc.contributor.authorPers, Tune H.
dc.contributor.authorKarjalainen, Juha M.
dc.contributor.authorChan, Yingleong
dc.contributor.authorWestra, Harm-Jan
dc.contributor.authorWood, Andrew R.
dc.contributor.authorYang, Jian
dc.contributor.authorLui, Julian C.
dc.contributor.authorVedantam, Sailaja
dc.contributor.authorGustafsson, Stefan
dc.contributor.authorEsko, Tonu
dc.contributor.authorFrayling, Tim
dc.contributor.authorSpeliotes, Elizabeth K.
dc.contributor.authorBoehnke, Michael
dc.contributor.authorRaychaudhuri, Soumya
dc.contributor.authorFehrmann, Rudolf S. N.
dc.contributor.authorHirschhorn, Joel N.
dc.contributor.authorFranke, Lude
dc.contributor.authorKuusisto, Johanna
dc.date.accessioned2016-06-08T05:16:37Z
dc.date.available2016-06-08T05:16:37Z
dc.date.issued2015-01-19
dc.identifier10.1038/ncomms6890
dc.identifier.citationTune H. Pers, Juha M. Karjalainen, Yingleong Chan, Harm-Jan Westra, Andrew R. Wood, Jian Yang, Julian C. Lui, Sailaja Vedantam, Stefan Gustafsson, Tonu Esko, Tim Frayling, Elizabeth K. Speliotes, Genetic Investigation of ANthropometric Traits (GIANT) Consortium, Michael Boehnke, Soumya Raychaudhuri, Rudolf S. N. Fehrmann, Joel N. Hirschhorn & Lude Franke 2015. Nature Communications 6, Article number: 5890fi_FI
dc.identifier.issn2041-1723
dc.identifier.urihttps://erepo.uef.fi/handle/123456789/45
dc.descriptionArticle
dc.description.abstractThe main challenge for gaining biological insights from genetic associations is identifying which genes and pathways explain the associations. Here we present DEPICT, an integrative tool that employs predicted gene functions to systematically prioritize the most likely causal genes at associated loci, highlight enriched pathways and identify tissues/cell types where genes from associated loci are highly expressed. DEPICT is not limited to genes with established functions and prioritizes relevant gene sets for many phenotypes.fi_FI
dc.language.isoenfi_FI
dc.publisherNature Publishing Groupfi_FI
dc.relation.ispartofseriesNature Communications
dc.relation.urihttp://dx.doi.org/10.1038/ncomms6890
dc.rightsCC BY 4.0 https://creativecommons.org/licenses/by/4.0/
dc.subjectBiological sciencesfi_FI
dc.subjectGeneticsfi_FI
dc.titleBiological interpretation of genome-wide association studies using predicted gene functionsfi_FI
dc.typehttp://purl.org/eprint/type/JournalArticle
dc.description.versionPublisher's pdf
dc.contributor.departmentFaculty of Health Sciences
uef.solecris.id33886850
eprint.statushttp://purl.org/eprint/status/PeerReviewed
dc.type.publicationinfo:eu-repo/semantics/article
dc.rights.accessrights© Macmillan Publishers Limited
dc.relation.doi10.1038/ncomms6890
dc.description.reviewstatushttp://purl.org/eprint/status/PeerReviewed
dc.relation.issn2041-1723
dc.relation.issue5890
dc.relation.volume6
dc.rights.accesslevelopenAccess


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