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dc.contributor.authorBarroso, I
dc.date.accessioned2021-10-08T12:32:27Z
dc.date.issued2021-09-30
dc.description.abstractType 2 diabetes has a global prevalence, with epidemiological data suggesting that some populations have a higher risk of developing this disease. However, to date, most genetic studies of type 2 diabetes and related glycaemic traits have been performed in individuals of European ancestry. The same is true for most other complex diseases, largely due to use of 'convenience samples'. Rapid genotyping of large population cohorts and case-control studies from existing collections was performed when the genome-wide association study (GWAS) 'revolution' began, back in 2005. Although global representation has increased in the intervening 15 years, further expansion and inclusion of diverse populations in genetic and genomic studies is still needed. In this review, I discuss the progress made in incorporating multi-ancestry participants in genetic analyses of type 2 diabetes and related glycaemic traits, and associated opportunities and challenges. I also discuss how increased representation of global diversity in genetic and genomic studies is required to fulfil the promise of precision medicine for all.en_GB
dc.description.sponsorshipResearch Englanden_GB
dc.identifier.citationPublished online 30 September 2021en_GB
dc.identifier.doi10.1007/s00125-021-05575-4
dc.identifier.urihttp://hdl.handle.net/10871/127389
dc.language.isoenen_GB
dc.publisherSpringeren_GB
dc.relation.urlhttps://www.ncbi.nlm.nih.gov/pubmed/34595549en_GB
dc.rights© The Author(s) 2021. 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/.en_GB
dc.subjectGeneticsen_GB
dc.subjectGenome-wide association study (GWAS)en_GB
dc.subjectMeta-analysisen_GB
dc.subjectMulti-ancestryen_GB
dc.subjectPolygenic risk score (PRS)en_GB
dc.subjectPrecision medicineen_GB
dc.subjectReviewen_GB
dc.titleThe importance of increasing population diversity in genetic studies of type 2 diabetes and related glycaemic traitsen_GB
dc.typeArticleen_GB
dc.date.available2021-10-08T12:32:27Z
exeter.place-of-publicationGermanyen_GB
dc.descriptionThis is the final version. Available on open access from Springer via the DOI in this recorden_GB
dc.identifier.eissn1432-0428
dc.identifier.journalDiabetologiaen_GB
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/.en_GB
dcterms.dateAccepted2021-07-07
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2021-09-30
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2021-10-08T12:31:11Z
refterms.versionFCDVoR
refterms.dateFOA2021-10-08T12:32:32Z
refterms.panelAen_GB


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© The Author(s) 2021. 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/.
Except where otherwise noted, this item's licence is described as © The Author(s) 2021. 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/.