Re-analysis of public genetic data reveals a rare X-chromosomal variant associated with type 2 diabetes

dc.contributor.authorBonàs Guarch, Sílvia
dc.contributor.authorGuindo Martínez, Marta
dc.contributor.authorMiguel-Escalada, Irene
dc.contributor.authorGrarup, Niels
dc.contributor.authorSebastián Muñoz, David
dc.contributor.authorRodriguez-Fos, Elias
dc.contributor.authorSánchez, Friman
dc.contributor.authorPlanas-Fèlix, Mercè
dc.contributor.authorCortes-Sánchez, Paula
dc.contributor.authorGonzález, Santi
dc.contributor.authorTimshel, Pascal
dc.contributor.authorPers, Tune H.
dc.contributor.authorMorgan, Claire C.
dc.contributor.authorMoran, Ignasi
dc.contributor.authorAtla, Goutham
dc.contributor.authorGonzález, Juan Ramón
dc.contributor.authorPuiggròs, Montserrat
dc.contributor.authorMartí, Jonathan
dc.contributor.authorAndersson, Ehm A.
dc.contributor.authorDíaz, Carlos
dc.contributor.authorBadia, Rosa M.
dc.contributor.authorUdler, Miriam
dc.contributor.authorLeong, Aaron
dc.contributor.authorKaur, Varindepal
dc.contributor.authorFlannick, Jason
dc.contributor.authorJørgensen, Torben
dc.contributor.authorLinneberg, Allan
dc.contributor.authorJørgensen, Marit E.
dc.contributor.authorWitte, Daniel R.
dc.contributor.authorChristensen, Cramer
dc.contributor.authorBrandslund, Ivan
dc.contributor.authorAppel, Emil V.
dc.contributor.authorScott, Robert A.
dc.contributor.authorLuan, Jian'an
dc.contributor.authorLangenberg, Claudia
dc.contributor.authorWareham, Nicholas J.
dc.contributor.authorPedersen, Oluf
dc.contributor.authorZorzano Olarte, Antonio
dc.contributor.authorFlorez, Jose C.
dc.contributor.authorHansen, Torben
dc.date.accessioned2018-03-21T12:44:33Z
dc.date.available2018-03-21T12:44:33Z
dc.date.issued2018-01-22
dc.date.updated2018-03-21T12:44:33Z
dc.description.abstractThe reanalysis of existing GWAS data represents a powerful and cost-effective opportunity to gain insights into the genetics of complex diseases. By reanalyzing publicly available type 2 diabetes (T2D) genome-wide association studies (GWAS) data for 70,127 subjects, we identify seven novel associated regions, five driven by common variants (LYPLAL1, NEUROG3, CAMKK2, ABO, and GIP genes), one by a low-frequency (EHMT2), and one driven by a rare variant in chromosome Xq23, rs146662057, associated with a twofold increased risk for T2D in males. rs146662057 is located within an active enhancer associated with the expression of Angiotensin II Receptor type 2 gene (AGTR2), a modulator of insulin sensitivity, and exhibits allelic specific activity in muscle cells. Beyond providing insights into the genetics and pathophysiology of T2D, these results also underscore the value of reanalyzing publicly available data using novel genetic resources and analytical approaches.
dc.format.mimetypeapplication/pdf
dc.identifier.idgrec677009
dc.identifier.issn2041-1723
dc.identifier.pmid29358691
dc.identifier.urihttps://hdl.handle.net/2445/120954
dc.language.isoeng
dc.publisherNature Publishing Group
dc.relation.isformatofReproducció del document publicat a: https://doi.org/10.1038/s41467-017-02380-9
dc.relation.ispartofNature Communications, 2018, vol. 9, num. 321
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/658145/EU//3D-ADAPT
dc.relation.urihttps://doi.org/10.1038/s41467-017-02380-9
dc.rightscc-by (c) Bonàs Guarch, Sílvia et al., 2018
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es
dc.sourceArticles publicats en revistes (Bioquímica i Biomedicina Molecular)
dc.subject.classificationDiabetis
dc.subject.classificationGenètica humana
dc.subject.otherDiabetes
dc.subject.otherHuman genetics
dc.titleRe-analysis of public genetic data reveals a rare X-chromosomal variant associated with type 2 diabetes
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion

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