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dc.contributor.authorWakeling, MN
dc.contributor.authorPatel, K
dc.contributor.authorMcDonald, Timothy J.
dc.contributor.authorEllard, Sian
dc.contributor.authorHattersley, Andrew T.
dc.contributor.authorColclough, Kevin
dc.date.accessioned2019-11-12T15:50:58Z
dc.date.available2019-11-12T15:50:58Z
dc.date.issued2019-07
dc.identifier.citationYaghootkar H [et al]. Type 1 diabetes genetic risk score discriminates between monogenic and Type 1 diabetes in children diagnosed at the age of <5 years in the Iranian population. Diabetic Medicine. 2019 Jul 5en_US
dc.identifier.pmid31276222
dc.identifier.doi10.1111/dme.14071
dc.identifier.urihttps://rde.dspace-express.com/handle/11287/621127
dc.description.abstractAIM To examine the extent to which discriminatory testing using antibodies and Type 1 diabetes genetic risk score, validated in European populations, is applicable in a non-European population. METHODS: We recruited 127 unrelated children with diabetes diagnosed between 9 months and 5 years from two centres in Iran. All children underwent targeted next-generation sequencing of 35 monogenic diabetes genes. We measured three islet autoantibodies (islet antigen 2, glutamic acid decarboxylase and zinc transporter 8) and generated a Type 1 diabetes genetic risk score in all children. RESULTS: We identified six children with monogenic diabetes, including four novel mutations: homozygous mutations in WFS1 (n=3), SLC19A2 and SLC29A3, and a heterozygous mutation in GCK. All clinical features were similar in children with monogenic diabetes (n=6) and in the rest of the cohort (n=121). The Type 1 diabetes genetic risk score discriminated children with monogenic from Type 1 diabetes [area under the receiver-operating characteristic curve 0.90 (95% CI 0.83-0.97)]. All children with monogenic diabetes were autoantibody-negative. In children with no mutation, 59 were positive to glutamic acid decarboxylase, 39 to islet antigen 2 and 31 to zinc transporter 8. Measuring zinc transporter 8 increased the number of autoantibody-positive individuals by eight. CONCLUSIONS: The present study provides the first evidence that Type 1 diabetes genetic risk score can be used to distinguish monogenic from Type 1 diabetes in an Iranian population with a large number of consanguineous unions. This test can be used to identify children with a higher probability of having monogenic diabetes who could then undergo genetic testing. Identification of these individuals would reduce the cost of treatment and improve the management of their clinical course.en_US
dc.language.isoenen_US
dc.publisherWileyen_US
dc.relation.urlhttps://doi.org/10.1111/dme.14071en_US
dc.subjectWessex Classification Subject Headings::Endocrinology::Diabetesen_US
dc.subjectWessex Classification Subject Headings::Oncology. Pathology.::Geneticsen_US
dc.titleType 1 diabetes genetic risk score discriminates between monogenic and Type 1 diabetes in children diagnosed at the age of <5 years in the Iranian populationen_US
dc.typeJournal Articleen_US
dc.identifier.journalDiabetic Medicineen_US
dc.type.versionIn press (epub ahead of print)en_US


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