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dc.contributor.authorThuesen, Anne Cathrine
dc.contributor.authorStæger, Fredrik Filip
dc.contributor.authorKaci, Alba
dc.contributor.authorSolheim, Marie Holm
dc.contributor.authorAukrust, Ingvild
dc.contributor.authorJørsboe, Emil
dc.contributor.authorSantander, Cindy G.
dc.contributor.authorAndersen, Mette
dc.contributor.authorLi, Zilong
dc.contributor.authorGilly, Arthur
dc.contributor.authorStinson, Sara Elizabeth
dc.contributor.authorGjesing, Anette Prior
dc.contributor.authorBjerregaard, Peter
dc.contributor.authorPedersen, Michael Lynge
dc.contributor.authorLarsen, Christina Viskum Lytken
dc.contributor.authorGrarup, Niels
dc.contributor.authorJørgensen, Marit E.
dc.contributor.authorZeggini, Eleftheria
dc.contributor.authorBjørkhaug, Lise
dc.contributor.authorNjølstad, Pål Rasmus
dc.contributor.authorAlbrechtsen, Anders
dc.contributor.authorMoltke, Ida
dc.contributor.authorHansen, Torben
dc.date.accessioned2023-04-18T10:50:05Z
dc.date.available2023-04-18T10:50:05Z
dc.date.created2023-01-05T14:49:14Z
dc.date.issued2023
dc.identifier.citationThuesen, A. C. B., Stæger, F. F., Kaci, A., Solheim, M. H., Aukrust, I., Jørsboe, E., Santander, C. G., Andersen, M. K., Li, Z., Gilly, A., Stinson, S. E., Gjesing, A. P., Bjerregaard, P., Pedersen, M. L., Larsen, C. V. L., Grarup, N., Jørgensen, M. E., Zeggini, E., Bjørkhaug, L., Njølstad, P. R., Albrechtsen, A., Moltke, I., & Hansen, T. (2023). A novel splice-affecting HNF1A variant with large population impact on diabetes in Greenland. The Lancet Regional Health - Europe, 24:100529.en_US
dc.identifier.issn2666-7762
dc.identifier.urihttps://hdl.handle.net/11250/3063542
dc.description.abstractBackground The genetic disease architecture of Inuit includes a large number of common high-impact variants. Identification of such variants contributes to our understanding of the genetic aetiology of diseases and improves global equity in genomic personalised medicine. We aimed to identify and characterise novel variants in genes associated with Maturity Onset Diabetes of the Young (MODY) in the Greenlandic population. Methods Using combined data from Greenlandic population cohorts of 4497 individuals, including 448 whole genome sequenced individuals, we screened 14 known MODY genes for previously identified and novel variants. We functionally characterised an identified novel variant and assessed its association with diabetes prevalence and cardiometabolic traits and population impact. Findings We identified a novel variant in the known MODY gene HNF1A with an allele frequency of 1.9% in the Greenlandic Inuit and absent elsewhere. Functional assays indicate that it prevents normal splicing of the gene. The variant caused lower 30-min insulin (β = −232 pmol/L, βSD = −0.695, P = 4.43 × 10−4) and higher 30-min glucose (β = 1.20 mmol/L, βSD = 0.441, P = 0.0271) during an oral glucose tolerance test. Furthermore, the variant was associated with type 2 diabetes (OR 4.35, P = 7.24 × 10−6) and HbA1c (β = 0.113 HbA1c%, βSD = 0.205, P = 7.84 × 10−3). The variant explained 2.5% of diabetes variance in Greenland. Interpretation The reported variant has the largest population impact of any previously reported variant within a MODY gene. Together with the recessive TBC1D4 variant, we show that close to 1 in 5 cases of diabetes (18%) in Greenland are associated with high-impact genetic variants compared to 1–3% in large populations.en_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleA novel splice-affecting HNF1A variant with large population impact on diabetes in Greenlanden_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© 2022 The Author(s).en_US
dc.source.volume24en_US
dc.source.journalThe Lancet Regional Health - Europeen_US
dc.identifier.doi10.1016/j.lanepe.2022.100529
dc.identifier.cristin2101436
dc.source.articlenumber100529en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
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