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      A type 1 diabetes genetic risk score can discriminate monogenic autoimmunity with diabetes from early-onset clustering of polygenic autoimmunity with diabetes

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          Abstract

          Aims/hypothesis

          Identifying individuals suitable for monogenic autoimmunity testing and gene discovery studies is challenging: early-onset type 1 diabetes mellitus can cluster with additional autoimmune diseases due to shared polygenic risk and islet- and other organ-specific autoantibodies are present in both monogenic and polygenic aetiologies. We aimed to assess whether a type 1 diabetes genetic risk score (GRS) could identify monogenic autoimmune diabetes and be useful to prioritise individuals for gene discovery studies.

          Methods

          We studied 79 individuals with diabetes and at least one additional autoimmune disease diagnosed before the age of 5 years. We screened all participants for the seven genes known to cause monogenic autoimmunity that can include diabetes ( AIRE, IL2RA, FOXP3, LRBA, STAT1, STAT3, STAT5B). We genotyped the top ten risk alleles for type 1 diabetes, including HLA and non-HLA loci, to generate a type 1 diabetes GRS.

          Results

          Of the 79 individuals studied, 37 (47%) had mutations in the monogenic autoimmunity genes. The type 1 diabetes GRS was lower in these individuals than in those without mutations in these genes (median 9th vs 49th centile of type 1 diabetes controls, p < 0.0001). Age of diabetes diagnosis and type 1 diabetes GRS combined to be highly discriminatory of monogenic autoimmunity (receiver operating characteristic AUC: 0.88). Most individuals without a mutation in a known gene had a high type 1 diabetes GRS, suggesting that they have polygenic clustering of type 1 diabetes and additional autoimmunity and should not be included in gene discovery studies.

          Conclusions/interpretation

          We have shown that the type 1 diabetes GRS can identify individuals likely to have monogenic autoimmunity, helping both diagnostic testing and novel monogenic autoimmunity gene discovery. Individuals with monogenic autoimmunity have a different clinical course to those with polygenic type 1 diabetes and can respond well to therapies targeting the underlying genetic defect.

          Electronic supplementary material

          The online version of this article (10.1007/s00125-018-4551-0) contains peer-reviewed but unedited supplementary material, which is available to authorised users.

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          Most cited references17

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          A Type 1 Diabetes Genetic Risk Score Can Aid Discrimination Between Type 1 and Type 2 Diabetes in Young Adults.

          With rising obesity, it is becoming increasingly difficult to distinguish between type 1 diabetes (T1D) and type 2 diabetes (T2D) in young adults. There has been substantial recent progress in identifying the contribution of common genetic variants to T1D and T2D. We aimed to determine whether a score generated from common genetic variants could be used to discriminate between T1D and T2D and also to predict severe insulin deficiency in young adults with diabetes.
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            Autoimmune polyendocrinopathy-candidiasis-ectodermal dystrophy.

            Autoimmune polyendocrinopathy-candidiasis-ectodermal dystrophy is known as a rare hereditary disease with classic triad of mucocutaneous candidiasis, hypoparathyroidism, and adrenocortical failure, two of which, diagnostic dyad, are required for the diagnosis. Evidently many patients suffer unrecognized because the condition is more variable and complex. The objective of the study was to describe the variability of autoimmune polyendocrinopathy-candidiasis-ectodermal dystrophy for promoting recognition and adequate follow-up of patients. The Finnish series of patients is the largest internationally. The study population was all 91 known Finnish patients. Besides the classical triad, a dozen autoimmune endocrine and other components occurred variably, several of them dangerous. The initial manifestation appeared within the age range of 0.2-18 yr, mucocutaneous candidiasis being part of it in 60% of the patients, hypoparathyroidism in 32%, and adrenocortical failure in 5%. But 23% of the patients had one to six other components before the diagnostic dyad: hepatitis, keratoconjunctivitis, chronic diarrhea, periodic rash with fever. The dyad appeared 0.2-20 yr later. Prevalence of most components increased with age, diabetes mellitus, hypothyroidism, and testicular failure becoming common toward middle age. Tubulointerstitial nephritis occurred in 9% of the patients, apparent mineralocorticoid excess in 9%, asplenia in 19% of adults, and oral or esophageal squamous cell carcinoma in 10% of patients older than 25 yr. Any child or young adult with one of the many disease components should be examined for others and consideration of AIRE mutation assay.
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              The effect of early, comprehensive genomic testing on clinical care in neonatal diabetes: an international cohort study

              Summary Background Traditional genetic testing focusses on analysis of one or a few genes according to clinical features; this approach is changing as improved sequencing methods enable simultaneous analysis of several genes. Neonatal diabetes is the presenting feature of many discrete clinical phenotypes defined by different genetic causes. Genetic subtype defines treatment, with improved glycaemic control on sulfonylurea treatment for most patients with potassium channel mutations. We investigated the effect of early, comprehensive testing of all known genetic causes of neonatal diabetes. Methods In this large, international, cohort study, we studied patients with neonatal diabetes diagnosed with diabetes before 6 months of age who were referred from 79 countries. We identified mutations by comprehensive genetic testing including Sanger sequencing, 6q24 methylation analysis, and targeted next-generation sequencing of all known neonatal diabetes genes. Findings Between January, 2000, and August, 2013, genetic testing was done in 1020 patients (571 boys, 449 girls). Mutations in the potassium channel genes were the most common cause (n=390) of neonatal diabetes, but were identified less frequently in consanguineous families (12% in consanguineous families vs 46% in non-consanguineous families; p 4 years; p<0·0001), in whom skeletal and liver involvement was common. Similarly, for patients with genetically diagnosed transient neonatal diabetes, the diabetes had remitted in only ten (10%) of 101 patients tested early (<3 months) compared with 60 (100%) of the 60 later referrals (p<0·0001). Interpretation Patients are now referred for genetic testing closer to their presentation with neonatal diabetes. Comprehensive testing of all causes identified causal mutations in more than 80% of cases. The genetic result predicts the best diabetes treatment and development of related features. This model represents a new framework for clinical care with genetic diagnosis preceding development of clinical features and guiding clinical management. Funding Wellcome Trust and Diabetes UK.
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                Author and article information

                Contributors
                A.T.Hattersley@exeter.ac.uk
                Journal
                Diabetologia
                Diabetologia
                Diabetologia
                Springer Berlin Heidelberg (Berlin/Heidelberg )
                0012-186X
                1432-0428
                7 February 2018
                7 February 2018
                2018
                : 61
                : 4
                : 862-869
                Affiliations
                [1 ]ISNI 0000 0004 1936 8024, GRID grid.8391.3, Institute of Biomedical and Clinical Science, University of Exeter Medical School, ; Exeter, EX2 5AD UK
                [2 ]ISNI 0000 0000 8527 9995, GRID grid.416118.b, Molecular Genetics, , Royal Devon and Exeter Hospital, ; Exeter, UK
                Article
                4551
                10.1007/s00125-018-4551-0
                6448971
                29417186
                6204464c-a827-4ce4-b7fd-19807ebbbf1a
                © The Author(s) 2018

                Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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.

                History
                : 11 September 2017
                : 13 December 2017
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100007028, Leona M. and Harry B. Helmsley Charitable Trust;
                Award ID: Breakthrough Initiative
                Funded by: FundRef http://dx.doi.org/10.13039/100004440, Wellcome Trust;
                Award ID: 110082/Z/15/Z
                Funded by: Wellcome Trust & Royal Society
                Award ID: 105636/Z/14/Z
                Categories
                Article
                Custom metadata
                © Springer-Verlag GmbH Germany, part of Springer Nature 2018

                Endocrinology & Diabetes
                gene discovery,genetic risk score,monogenic autoimmune diabetes,type 1 diabetes

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