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Genome-wide association analysis of type 2 diabetes in the EPIC-InterAct study

dc.contributor.authorCai, L
dc.contributor.authorWheeler, E
dc.contributor.authorKerrison, ND
dc.contributor.authorLuan, J
dc.contributor.authorDeloukas, P
dc.contributor.authorFranks, PW
dc.contributor.authorAmiano, P
dc.contributor.authorArdanaz, E
dc.contributor.authorBonet, C
dc.contributor.authorFagherazzi, G
dc.contributor.authorGroop, LC
dc.contributor.authorKaaks, R
dc.contributor.authorHuerta, JM
dc.contributor.authorMasala, G
dc.contributor.authorNilsson, PM
dc.contributor.authorOvervad, K
dc.contributor.authorPala, V
dc.contributor.authorPanico, S
dc.contributor.authorRodriguez-Barranco, M
dc.contributor.authorRolandsson, O
dc.contributor.authorSacerdote, C
dc.contributor.authorSchulze, MB
dc.contributor.authorSpijkerman, AMW
dc.contributor.authorTjonneland, A
dc.contributor.authorTumino, R
dc.contributor.authorvan der Schouw, YT
dc.contributor.authorSharp, SJ
dc.contributor.authorForouhi, NG
dc.contributor.authorRiboli, E
dc.contributor.authorMcCarthy, MI
dc.contributor.authorBarroso, I
dc.contributor.authorLangenberg, C
dc.contributor.authorWareham, NJ
dc.date.accessioned2021-04-23T11:03:28Z
dc.date.issued2020-11-13
dc.description.abstractType 2 diabetes (T2D) is a global public health challenge. Whilst the advent of genome-wide association studies has identified >400 genetic variants associated with T2D, our understanding of its biological mechanisms and translational insights is still limited. The EPIC-InterAct project, centred in 8 countries in the European Prospective Investigations into Cancer and Nutrition study, is one of the largest prospective studies of T2D. Established as a nested case-cohort study to investigate the interplay between genetic and lifestyle behavioural factors on the risk of T2D, a total of 12,403 individuals were identified as incident T2D cases, and a representative sub-cohort of 16,154 individuals was selected from a larger cohort of 340,234 participants with a follow-up time of 3.99 million person-years. We describe the results from a genome-wide association analysis between more than 8.9 million SNPs and T2D risk among 22,326 individuals (9,978 cases and 12,348 non-cases) from the EPIC-InterAct study. The summary statistics to be shared provide a valuable resource to facilitate further investigations into the genetics of T2D.en_GB
dc.description.sponsorshipWellcome Trusten_GB
dc.description.sponsorshipMedical Research Council Epidemiology Uniten_GB
dc.identifier.citationVol. 7, article no. 393en_GB
dc.identifier.doi10.1038/s41597-020-00716-7
dc.identifier.grantnumberWT206194en_GB
dc.identifier.grantnumberMC_UU_12015/1en_GB
dc.identifier.grantnumberMC_UU_12015/5en_GB
dc.identifier.urihttp://hdl.handle.net/10871/125452
dc.language.isoenen_GB
dc.publisherNature Researchen_GB
dc.rights© The Author(s) 2020. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article.en_GB
dc.titleGenome-wide association analysis of type 2 diabetes in the EPIC-InterAct studyen_GB
dc.typeArticleen_GB
dc.date.available2021-04-23T11:03:28Z
dc.identifier.issn2052-4463
dc.descriptionThis is the final version. Available from Nature Research via the DOI in this record. en_GB
dc.descriptionMachine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.12981821en_GB
dc.descriptionCode availability IMPUTE v2.3.2: https://mathgen.stats.ox.ac.uk/impute/impute_v2.html QUICKTEST Version 0.98: http://toby. freeshell.org/sofware/quicktest.shtml METAL: https://genome.sph.umich.edu/wiki/METAL All other analyses, including the Prentice-weighted Cox-regression analyses, were performed using R 3.4.2en_GB
dc.identifier.journalScientific Dataen_GB
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2020-09-04
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2020-11-13
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2021-04-23T10:54:59Z
refterms.versionFCDVoR
refterms.dateFOA2021-04-23T11:04:07Z
refterms.panelAen_GB


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© The Author(s) 2020. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article.
Except where otherwise noted, this item's licence is described as © The Author(s) 2020. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article.