{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,18]],"date-time":"2026-07-18T17:19:35Z","timestamp":1784395175975,"version":"3.55.0"},"reference-count":38,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2026,3,3]],"date-time":"2026-03-03T00:00:00Z","timestamp":1772496000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2026,3,3]],"date-time":"2026-03-03T00:00:00Z","timestamp":1772496000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/501100007885","name":"European Association for the Study of Diabetes","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100007885","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Diabetologia"],"published-print":{"date-parts":[[2026,6]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Aims\/hypothesis<\/jats:title>\n                    <jats:p>Accurate interpretation of loss-of-function (LOF) variants in MODY genes is essential for diagnosis but remains challenging, particularly for variants that are predicted to escape nonsense-mediated decay (NMD). We aimed to systematically evaluate the pathogenicity of LOF variants, stratified by NMD-triggering and NMD-escape status, across all known MODY genes.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      We analysed ultra-rare LOF variants (minor allele frequency &lt;1 in 10,000) in 5171 individuals of European ancestry with suspected MODY, compared with 155,501 population-based control individuals from UK Biobank. LOF variants in\n                      <jats:italic>ABCC8<\/jats:italic>\n                      ,\n                      <jats:italic>GCK<\/jats:italic>\n                      ,\n                      <jats:italic>HNF1A<\/jats:italic>\n                      ,\n                      <jats:italic>HNF4A<\/jats:italic>\n                      ,\n                      <jats:italic>HNF1B<\/jats:italic>\n                      ,\n                      <jats:italic>INS<\/jats:italic>\n                      ,\n                      <jats:italic>KCNJ11<\/jats:italic>\n                      ,\n                      <jats:italic>NEUROD1<\/jats:italic>\n                      ,\n                      <jats:italic>PDX1<\/jats:italic>\n                      and\n                      <jats:italic>RFX6<\/jats:italic>\n                      were classified as NMD-triggering or NMD-escape. We tested for gene-level enrichment in cases vs controls. For novel associations, we performed replication in additional MODY patients, assessed familial co-segregation, and undertook in silico protein modelling.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      LOF variants were significantly enriched in all MODY genes except\n                      <jats:italic>ABCC8<\/jats:italic>\n                      and\n                      <jats:italic>KCNJ11<\/jats:italic>\n                      . Both NMD-triggering and NMD-escape variants were enriched in\n                      <jats:italic>GCK<\/jats:italic>\n                      ,\n                      <jats:italic>HNF1A<\/jats:italic>\n                      and\n                      <jats:italic>HNF4A<\/jats:italic>\n                      , consistent with haploinsufficiency (all\n                      <jats:italic>p<\/jats:italic>\n                      &lt;10\n                      <jats:sup>\u22123<\/jats:sup>\n                      ).\n                      <jats:italic>HNF1B<\/jats:italic>\n                      and\n                      <jats:italic>RFX6<\/jats:italic>\n                      showed enrichment only for NMD-triggering variants, while\n                      <jats:italic>NEUROD1<\/jats:italic>\n                      and\n                      <jats:italic>PDX1<\/jats:italic>\n                      were enriched only for NMD-escape variants. A novel finding was the significant enrichment of only NMD-escape LOF variants in\n                      <jats:italic>INS<\/jats:italic>\n                      (OR=181,\n                      <jats:italic>p<\/jats:italic>\n                      &lt;10\n                      <jats:sup>\u22125<\/jats:sup>\n                      ). Including replication in additional MODY patients, we identified eight families with 17 affected individuals carrying\n                      <jats:italic>INS<\/jats:italic>\n                      variants. These variants co-segregated with diabetes (logarithm of the odds score=3), included one de novo case, and were absent from &gt;800,000 population control individuals. Individuals presented with diabetes at a median age of 19 years, had median BMI of 22.9 kg\/m\n                      <jats:sup>2<\/jats:sup>\n                      , were negative for islet autoantibodies, and had low type 1 diabetes genetic risk scores. Compared with\n                      <jats:italic>INS<\/jats:italic>\n                      missense MODY, diagnosis occurred approximately 10 years later in individuals with NMD-escape LOF variants. Protein modelling suggested that\n                      <jats:italic>INS<\/jats:italic>\n                      NMD-escape variants produce aberrant proinsulin molecules with unpaired B-chain cysteines, leading to milder misfolding.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions\/interpretation<\/jats:title>\n                    <jats:p>\n                      The pathogenicity of LOF variants in MODY genes depends on gene context and NMD status. Heterozygous NMD-escape LOF variants in\n                      <jats:italic>INS<\/jats:italic>\n                      are a novel cause of MODY. These findings provide systematic gene-level evidence to inform variant interpretation guidelines and improve the accuracy of MODY diagnosis in clinical practice.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Graphical Abstract<\/jats:title>\n                  <\/jats:sec>","DOI":"10.1007\/s00125-026-06685-7","type":"journal-article","created":{"date-parts":[[2026,3,3]],"date-time":"2026-03-03T02:22:32Z","timestamp":1772504552000},"page":"1569-1580","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Systematic analysis of loss-of-function variants across MODY genes demonstrates gene-specific effects and expands the spectrum of INS variants causing MODY"],"prefix":"10.1007","volume":"69","author":[{"given":"Thomas W.","family":"Laver","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Aparajita","family":"Sriram","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Matthew N.","family":"Wakeling","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zeynep","family":"\u015eiklar","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Farah","family":"Kobaisi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Oguzhan","family":"Kalyon","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andrew T.","family":"Hattersley","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michael N.","family":"Weedon","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sarah E.","family":"Flanagan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Elisa","family":"De Franco","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kevin","family":"Colclough","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kashyap A.","family":"Patel","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,3,3]]},"reference":[{"key":"6685_CR1","doi-asserted-by":"publisher","first-page":"1645","DOI":"10.1038\/s41588-019-0517-5","volume":"51","author":"RGH Lindeboom","year":"2019","unstructured":"Lindeboom RGH, Vermeulen M, Lehner B, Supek F (2019) The impact of nonsense-mediated mRNA decay on genetic disease, gene editing and cancer immunotherapy. Nat Genet 51:1645\u20131651. https:\/\/doi.org\/10.1038\/s41588-019-0517-5","journal-title":"Nat Genet"},{"key":"6685_CR2","doi-asserted-by":"publisher","first-page":"405","DOI":"10.1038\/gim.2015.30","volume":"17","author":"S Richards","year":"2015","unstructured":"Richards S, Aziz N, Bale S et al (2015) Standards and guidelines for the interpretation of sequence variants: a joint consensus recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology. Genet Med 17:405\u2013424. https:\/\/doi.org\/10.1038\/gim.2015.30","journal-title":"Genet Med"},{"key":"6685_CR3","unstructured":"Ellard S, Baple EL, Owens M, Eccles DM, Abbs S, Zandra C (2020) ACGS Best Practice Guidelines for Variant Classification 2020 version 4.01. Association for Clinical Genetic Science, London, UK"},{"key":"6685_CR4","doi-asserted-by":"publisher","first-page":"2235","DOI":"10.1056\/nejmsr1406261","volume":"372","author":"HL Rehm","year":"2015","unstructured":"Rehm HL, Berg JS, Brooks LD et al (2015) ClinGen \u2013 the clinical genome resource. N Engl J Med 372:2235\u20132242. https:\/\/doi.org\/10.1056\/nejmsr1406261","journal-title":"N Engl J Med"},{"key":"6685_CR5","doi-asserted-by":"publisher","first-page":"1512","DOI":"10.1002\/humu.21110","volume":"30","author":"KK Osbak","year":"2009","unstructured":"Osbak KK, Colclough K, Saint-Martin C et al (2009) Update on mutations in glucokinase (GCK), which cause maturity-onset diabetes of the young, permanent neonatal diabetes, and hyperinsulinemic hypoglycemia. Hum Mutat 30:1512\u20131526. https:\/\/doi.org\/10.1002\/humu.21110","journal-title":"Hum Mutat"},{"key":"6685_CR6","doi-asserted-by":"publisher","first-page":"854","DOI":"10.1002\/humu.20357","volume":"27","author":"S Ellard","year":"2006","unstructured":"Ellard S, Colclough K (2006) Mutations in the genes encoding the transcription factors hepatocyte nuclear factor 1 alpha (HNF1A) and 4 alpha (HNF4A) in maturity-onset diabetes of the young. Hum Mutat 27:854\u2013869. https:\/\/doi.org\/10.1002\/humu.20357","journal-title":"Hum Mutat"},{"key":"6685_CR7","doi-asserted-by":"publisher","first-page":"480","DOI":"10.1007\/s00125-013-3119-2","volume":"57","author":"J Stanik","year":"2014","unstructured":"Stanik J, Dusatkova P, Cinek O et al (2014) De novo mutations of GCK, HNF1A and HNF4A may be more frequent in MODY than previously assumed. Diabetologia 57:480\u2013484. https:\/\/doi.org\/10.1007\/s00125-013-3119-2","journal-title":"Diabetologia"},{"key":"6685_CR8","doi-asserted-by":"publisher","first-page":"1619","DOI":"10.1515\/jpem-2021-0275","volume":"34","author":"GL Kim","year":"2021","unstructured":"Kim GL, Kwak SH, Yu J (2021) A case of monogenic diabetes mellitus caused by a novel heterozygous RFX6 nonsense mutation in a 14-year-old girl. J Pediatr Endocrinol Metab 34:1619\u20131622. https:\/\/doi.org\/10.1515\/jpem-2021-0275","journal-title":"J Pediatr Endocrinol Metab"},{"key":"6685_CR9","doi-asserted-by":"publisher","first-page":"230","DOI":"10.1016\/j.ejmg.2015.02.004","volume":"58","author":"L Dusatkova","year":"2015","unstructured":"Dusatkova L, Dusatkova P, Vosahlo J et al (2015) Frameshift mutations in the insulin gene leading to prolonged molecule of insulin in two families with Maturity-Onset Diabetes of the Young. Eur J Med Genet 58:230\u2013234. https:\/\/doi.org\/10.1016\/j.ejmg.2015.02.004","journal-title":"Eur J Med Genet"},{"key":"6685_CR10","doi-asserted-by":"publisher","first-page":"3139","DOI":"10.1093\/hmg\/ddh338","volume":"13","author":"E Barbacci","year":"2004","unstructured":"Barbacci E, Chalkiadaki A, Masdeu C et al (2004) HNF1\u03b2\/TCF2 mutations impair transactivation potential through altered co-regulator recruitment. Hum Mol Genet 13:3139\u20133149. https:\/\/doi.org\/10.1093\/hmg\/ddh338","journal-title":"Hum Mol Genet"},{"key":"6685_CR11","doi-asserted-by":"publisher","first-page":"138","DOI":"10.1038\/ng1097-138","volume":"17","author":"DA Stoffers","year":"1997","unstructured":"Stoffers DA, Ferrer J, Clarke WL, Habener JF (1997) Early-onset type-II diabetes mellitus (MODY4) linked to IPF1. Nat Genet 17:138\u2013139. https:\/\/doi.org\/10.1038\/ng1097-138","journal-title":"Nat Genet"},{"key":"6685_CR12","doi-asserted-by":"publisher","first-page":"434","DOI":"10.1038\/s41586-020-2308-7","volume":"581","author":"KJ Karczewski","year":"2020","unstructured":"Karczewski KJ, Francioli LC, Tiao G et al (2020) The mutational constraint spectrum quantified from variation in 141,456 humans. Nature 581:434\u2013443. https:\/\/doi.org\/10.1038\/s41586-020-2308-7","journal-title":"Nature"},{"key":"6685_CR13","doi-asserted-by":"publisher","first-page":"1958","DOI":"10.1007\/s00125-013-2962-5","volume":"56","author":"S Ellard","year":"2013","unstructured":"Ellard S, Lango Allen H, De Franco E et al (2013) Improved genetic testing for monogenic diabetes using targeted next-generation sequencing. Diabetologia 56:1958\u20131963. https:\/\/doi.org\/10.1007\/s00125-013-2962-5","journal-title":"Diabetologia"},{"key":"6685_CR14","doi-asserted-by":"publisher","first-page":"11.10.1","DOI":"10.1002\/0471250953.bi1110s43","volume":"43","author":"GA Van der Auwera","year":"2013","unstructured":"Van der Auwera GA, Carneiro MO, Hartl C et al (2013) From FastQ data to high-confidence variant calls: the Genome Analysis Toolkit best practices pipeline. Curr Protoc Bioinformatics 43:11.10.1-11.10.33. https:\/\/doi.org\/10.1002\/0471250953.bi1110s43","journal-title":"Curr Protoc Bioinformatics"},{"key":"6685_CR15","doi-asserted-by":"publisher","first-page":"223","DOI":"10.1007\/978-1-61779-176-5_14","volume":"760","author":"C Dong","year":"2011","unstructured":"Dong C, Yu B (2011) Mutation Surveyor: an in silico tool for sequencing analysis. Methods Mol Biol 760:223\u2013237. https:\/\/doi.org\/10.1007\/978-1-61779-176-5_14","journal-title":"Methods Mol Biol"},{"key":"6685_CR16","doi-asserted-by":"publisher","unstructured":"De Franco E, Russ-Silsby J, Batage MH, Laver T, Wakeling M, Johnson M (2024) Population labels can be generated directly from targeted next-generation sequencing data. Research Square (Preprint). 25 Oct 2024. Available from: https:\/\/doi.org\/10.21203\/rs.3.rs-5282595\/v1","DOI":"10.21203\/rs.3.rs-5282595\/v1"},{"issue":"6","key":"6685_CR17","doi-asserted-by":"publisher","first-page":"895","DOI":"10.1016\/j.ajhg.2017.04.015","volume":"100","author":"NT Strande","year":"2017","unstructured":"Strande NT, Riggs ER, Buchanan AH et al (2017) Evaluating the clinical validity of gene\u2013disease associations: an evidence-based framework developed by the Clinical Genome Resource. Am J Hum Genet 100(6):895\u2013906. https:\/\/doi.org\/10.1016\/j.ajhg.2017.04.015","journal-title":"Am J Hum Genet"},{"key":"6685_CR18","doi-asserted-by":"publisher","first-page":"840","DOI":"10.1016\/j.ajhg.2013.09.014","volume":"93","author":"BL Browning","year":"2013","unstructured":"Browning BL, Browning SR (2013) Detecting identity by descent and estimating genotype error rates in sequence data. Am J Hum Genet 93:840\u2013851. https:\/\/doi.org\/10.1016\/j.ajhg.2013.09.014","journal-title":"Am J Hum Genet"},{"key":"6685_CR19","doi-asserted-by":"publisher","first-page":"359","DOI":"10.1007\/s00439-015-1631-9","volume":"135","author":"J Meienberg","year":"2016","unstructured":"Meienberg J, Bruggmann R, Oexle K, Matyas G (2016) Clinical sequencing: is WGS the better WES? Hum Genet 135:359\u2013362. https:\/\/doi.org\/10.1007\/s00439-015-1631-9","journal-title":"Hum Genet"},{"key":"6685_CR20","doi-asserted-by":"publisher","first-page":"942","DOI":"10.1038\/s41588-021-00885-0","volume":"53","author":"JD Szustakowski","year":"2021","unstructured":"Szustakowski JD, Balasubramanian S, Kvikstad E et al (2021) Advancing human genetics research and drug discovery through exome sequencing of the UK Biobank. Nat Genet 53:942\u2013948. https:\/\/doi.org\/10.1038\/s41588-021-00885-0","journal-title":"Nat Genet"},{"key":"6685_CR21","doi-asserted-by":"publisher","first-page":"W521","DOI":"10.1093\/nar\/gkae241","volume":"52","author":"F Madeira","year":"2024","unstructured":"Madeira F, Madhusoodanan N, Lee J et al (2024) The EMBL-EBI Job Dispatcher sequence analysis tools framework in 2024. Nucleic Acids Res 52:W521\u2013W525. https:\/\/doi.org\/10.1093\/nar\/gkae241","journal-title":"Nucleic Acids Res"},{"key":"6685_CR22","doi-asserted-by":"publisher","first-page":"2123","DOI":"10.2337\/db25-0442","volume":"74","author":"A Sriram","year":"2025","unstructured":"Sriram A, Wakeling MN, Hattersley AT et al (2025) Rare variants in NEUROD1 and PDX1 are low-penetrance causes of MODY, whereas those in APPL1 and WFS1 are not associated with MODY. Diabetes 74:2123\u20132131. https:\/\/doi.org\/10.2337\/db25-0442","journal-title":"Diabetes"},{"key":"6685_CR23","doi-asserted-by":"publisher","first-page":"10330","DOI":"10.1038\/s41598-020-67230-z","volume":"10","author":"X Gao","year":"2020","unstructured":"Gao X, Dong X, Li X, Liu Z, Liu H (2020) Prediction of disulfide bond engineering sites using a machine learning method. Sci Rep 10:10330. https:\/\/doi.org\/10.1038\/s41598-020-67230-z","journal-title":"Sci Rep"},{"key":"6685_CR24","doi-asserted-by":"publisher","first-page":"17239","DOI":"10.1038\/s41598-017-16876-3","volume":"7","author":"B Van Lierop","year":"2017","unstructured":"Van Lierop B, Ong SC, Belgi A et al (2017) Insulin in motion: the A6\u2013A11 disulfide bond allosterically modulates structural transitions required for insulin activity. Sci Rep 7:17239. https:\/\/doi.org\/10.1038\/s41598-017-16876-3","journal-title":"Sci Rep"},{"key":"6685_CR25","first-page":"6599","volume":"12","author":"SQ Lei","year":"2020","unstructured":"Lei SQ, Wang JY, Li RM et al (2020) MODY10 caused by c.309-314del CCAGCT insGCGC mutation of the insulin gene: a case report. Am J Transl Res 12:6599\u20136607","journal-title":"Am J Transl Res"},{"key":"6685_CR26","doi-asserted-by":"publisher","first-page":"2148","DOI":"10.1172\/JCI33777","volume":"118","author":"C Colombo","year":"2008","unstructured":"Colombo C, Porzio O, Liu M et al (2008) Seven mutations in the human insulin gene linked to permanent neonatal\/infancy-onset diabetes mellitus. J Clin Investig 118:2148\u20132156. https:\/\/doi.org\/10.1172\/JCI33777","journal-title":"J Clin Investig"},{"key":"6685_CR27","doi-asserted-by":"publisher","first-page":"2312","DOI":"10.2337\/dc21-0491","volume":"44","author":"JN Todd","year":"2021","unstructured":"Todd JN, Kleinberger JW, Zhang H et al (2021) Monogenic diabetes in youth with presumed type 2 diabetes: results from the progress in diabetes genetics in youth (ProDiGY) collaboration. Diabetes Care 44:2312\u20132319. https:\/\/doi.org\/10.2337\/dc21-0491","journal-title":"Diabetes Care"},{"key":"6685_CR28","doi-asserted-by":"publisher","first-page":"1065","DOI":"10.2337\/db19-0974","volume":"69","author":"I Stankute","year":"2020","unstructured":"Stankute I, Verkauskiene R, Blouin JL et al (2020) Systematic genetic study of youth with diabetes in a single country reveals the prevalence of diabetes subtypes, novel candidate genes, and response to precision therapy. Diabetes 69:1065\u20131071. https:\/\/doi.org\/10.2337\/db19-0974","journal-title":"Diabetes"},{"key":"6685_CR29","doi-asserted-by":"publisher","first-page":"387","DOI":"10.1111\/jdi.13957","volume":"14","author":"T Yorifuji","year":"2023","unstructured":"Yorifuji T, Watanabe Y, Kitayama K et al (2023) Targeted gene panel analysis of Japanese patients with maturity-onset diabetes of the young-like diabetes mellitus: roles of inactivating variants in the ABCC8 and insulin resistance genes. J Diabetes Investig 14:387\u2013403. https:\/\/doi.org\/10.1111\/jdi.13957","journal-title":"J Diabetes Investig"},{"key":"6685_CR30","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1016\/j.endinu.2023.12.008","volume":"71","author":"P P\u00e9rez L\u00f3pez","year":"2024","unstructured":"P\u00e9rez L\u00f3pez P, Bahillo Curieses P, Fern\u00e1ndez P et al (2024) Clinical, glycometric features and treatment in a family with monogenic diabetes due to a new mutation in the insulin gene. Endocrinol Diabetes Nutr 71:77\u201382. https:\/\/doi.org\/10.1016\/j.endinu.2023.12.008","journal-title":"Endocrinol Diabetes Nutr"},{"key":"6685_CR31","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1111\/1753-0407.12849","volume":"11","author":"X Xiao","year":"2019","unstructured":"Xiao X, Liu L, Xiao Y et al (2019) Novel frameshift mutation in the insulin (INS) gene in a family with maturity onset diabetes of the young (MODY). J Diabetes 11:83\u201386. https:\/\/doi.org\/10.1111\/1753-0407.12849","journal-title":"J Diabetes"},{"key":"6685_CR32","doi-asserted-by":"publisher","first-page":"3105","DOI":"10.1073\/pnas.0910533107","volume":"107","author":"I Garin","year":"2010","unstructured":"Garin I, Edghill EL, Akerman I et al (2010) Recessive mutations in the INS gene result in neonatal diabetes through reduced insulin biosynthesis. Proc Natl Acad Sci USA 107:3105\u20133110. https:\/\/doi.org\/10.1073\/pnas.0910533107","journal-title":"Proc Natl Acad Sci USA"},{"key":"6685_CR33","doi-asserted-by":"publisher","first-page":"884","DOI":"10.1002\/humu.23995","volume":"41","author":"E De Franco","year":"2020","unstructured":"De Franco E, Saint-Martin C, Brusgaard K et al (2020) Update of variants identified in the pancreatic \u03b2-cell KATP channel genes KCNJ11 and ABCC8 in individuals with congenital hyperinsulinism and diabetes. Hum Mutat 41:884\u2013905. https:\/\/doi.org\/10.1002\/humu.23995","journal-title":"Hum Mutat"},{"key":"6685_CR34","doi-asserted-by":"publisher","first-page":"123","DOI":"10.1007\/s00125-011-2319-x","volume":"55","author":"P Bowman","year":"2012","unstructured":"Bowman P, Flanagan SE, Edghill EL et al (2012) Heterozygous ABCC8 mutations are a cause of MODY. Diabetologia 55:123\u2013127. https:\/\/doi.org\/10.1007\/s00125-011-2319-x","journal-title":"Diabetologia"},{"issue":"1","key":"6685_CR35","doi-asserted-by":"publisher","first-page":"180","DOI":"10.2337\/db25-0110","volume":"75","author":"R Scala","year":"2026","unstructured":"Scala R, Li Y, Gao J et al (2026) Paradoxical maturity-onset diabetes of the young (MODY) arising from loss-of-function mutations in ATP-sensitive potassium channels. Diabetes 75(1):180\u2013192. https:\/\/doi.org\/10.2337\/db25-0110","journal-title":"Diabetes"},{"key":"6685_CR36","doi-asserted-by":"publisher","first-page":"232","DOI":"10.1172\/JCI2242","volume":"102","author":"DA Stoffers","year":"1998","unstructured":"Stoffers DA, Stanojevic V, Habener JF (1998) Insulin promoter factor-1 gene mutation linked to early-onset type 2 diabetes mellitus directs expression of a dominant negative isoprotein. J Clin Investig 102:232\u2013241. https:\/\/doi.org\/10.1172\/JCI2242","journal-title":"J Clin Investig"},{"key":"6685_CR37","doi-asserted-by":"publisher","first-page":"960","DOI":"10.1111\/pedi.13257","volume":"22","author":"M Tosur","year":"2021","unstructured":"Tosur M, Soler-Alfonso C, Chan KM et al (2021) Exome sequencing in children with clinically suspected maturity-onset diabetes of the young. Pediatr Diabetes 22:960\u2013968. https:\/\/doi.org\/10.1111\/pedi.13257","journal-title":"Pediatr Diabetes"},{"issue":"7","key":"6685_CR38","doi-asserted-by":"publisher","first-page":"2094","DOI":"10.2337\/db15-1690","volume":"65","author":"KA Patel","year":"2016","unstructured":"Patel KA, Oram RA, Flanagan SE et al (2016) Type 1 diabetes genetic risk score: a novel tool to discriminate monogenic and type 1 diabetes. Diabetes 65(7):2094\u20132099. https:\/\/doi.org\/10.2337\/db15-1690","journal-title":"Diabetes"}],"container-title":["Diabetologia"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00125-026-06685-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00125-026-06685-7","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00125-026-06685-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,24]],"date-time":"2026-04-24T11:07:41Z","timestamp":1777028861000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00125-026-06685-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,3,3]]},"references-count":38,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2026,6]]}},"alternative-id":["6685"],"URL":"https:\/\/doi.org\/10.1007\/s00125-026-06685-7","relation":{},"ISSN":["0012-186X","1432-0428"],"issn-type":[{"value":"0012-186X","type":"print"},{"value":"1432-0428","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,3,3]]},"assertion":[{"value":"27 August 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"26 November 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 March 2026","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"This research was conducted using the UK Biobank Resource under UK Biobank project number 9072. The Wellcome Trust, MRC and NIHR had no role in the design and conduct of the study. collection, management, analysis or interpretation of the data, preparation, review or approval of the manuscript, or the decision to submit the manuscript for publication. The views expressed are those of the author(s) and not necessarily those of the Wellcome Trust, UK Department of Health, NHS or NIHR.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Acknowledgements"}},{"value":"Data on the MODY cohort are available through collaboration to experienced teams working on approved studies examining the mechanisms, diagnosis and treatment of diabetes and other beta cell disorders. Requests for collaboration will be considered by a steering committee following an application to the Genetic Beta Cell Research Bank (\n                      \n                      ). Contact by email should be directed to the corresponding author. Data from the UK Biobank are available to approved researchers (\n                      \n                      ). GnomAD data are publicly available (\n                      \n                      ).","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Data availability"}},{"value":"This study was funded by the European Foundation for the Study of Diabetes. In addition, KAP is funded by the Wellcome Trust (219606\/Z\/19\/Z). TWL is supported by the Academy of Medical Sciences, the Wellcome Trust, the UK Government Department of Science Innovation and Technology, the British Heart Foundation and a Diabetes UK Springboard Award (SBF009\\1135). ATH is supported by a Wellcome Trust Senior Investigator award (WT098395\/Z\/12\/Z). FK is supported by Investissements d'Avenir (ANR-10-LABX-73-01) and the Dutch Diabetes Research Foundation (Stichting Diabetes Onderzoek Nederland [DON]). The work was also supported by the UK National Institute for Health Research (NIHR) Exeter Biomedical Research Centre, Exeter, UK, and the NIHR Exeter Clinical Research Facilities.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Funding"}},{"value":"The authors declare that there are no relationships or activities that might bias, or be perceived to bias, their work.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Authors\u2019 relationships and activities"}},{"value":"TWL and AS are joint first authors. The study was conceptualised by KAP and TWL, with methodology design contributions from FK, MNWa, MNWe and OK. ATH, EDF, KC, SF, KAP and ZS recruited patients and contributed to the acquisition of the data. KAP, TWL, AS, FK and OK undertook data analysis. All authors contributed to the data interpretation. The original draft was prepared by AS, KAP and TWL, and AS, ATH, EDF, KC, KAP, MNWa, FK, MNWe, OK, SF, TWL and ZS critically reviewed, edited and provided crucial intellectual comments. Supervision was provided by KAP, and funding acquisition was undertaken by KAP, MNWe and TWL. All authors approved the final version for publication. KAP is the guarantor of this work, and, as such, had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.","order":5,"name":"Ethics","group":{"name":"EthicsHeading","label":"Contribution statement"}}]}}