Kashyap A Patel
Has grant
Research Interests
Explore related searches
Contact this professor
Get a free first email built on one of their papers, ready for you to edit and send yourself.
Recent Grants
Grant: Close
Assessing the pathogenicity, penetrance and expressivity of monogenic disease variants using large-scale population-based cohorts
Open Date: 2020-08-31
Close Date: 2023-02-28
Articles (11)
Year:
2023
Year:
2023
Year:
2023
Year:
2022
Year:
2022
Context The importance of the autoantibody level at diagnosis of type 1 diabetes (T1D) is not clear. Objective We aimed to assess the association of glutamate decarboxylase (GADA), islet antigen-2 (IA-2A), and zinc transporter 8 (ZnT8A) autoantibody levels with clinical and genetic characteristics at diagnosis of T1D. Methods We conducted a prospective, cross-sectional study. GADA, IA-2A, and ZnT8A were measured in 1644 individuals with T1D at diagnosis using radiobinding assays. Associations between autoantibody levels and the clinical and genetic characteristics for individuals were assessed in those positive for these autoantibodies. We performed replication in an independent cohort of 449 people with T1D. Results GADA and IA-2A levels exhibited a bimodal distribution at diagnosis. High GADA level was associated with older age at diagnosis (median 27 years vs 19 years, P = 9 × 10−17), female sex (52% vs 37%, P = 1 × 10−8), other autoimmune diseases (13% vs 6%, P = 3 × 10−6), and HLA-DR3-DQ2 (58% vs 51%, P = .006). High IA-2A level was associated with younger age of diagnosis (median 17 years vs 23 years, P = 3 × 10−7), HLA-DR4-DQ8 (66% vs 50%, P = 1 × 10−6), and ZnT8A positivity (77% vs 52%, P = 1 × 10−15). We replicated our findings in an independent cohort of 449 people with T1D where autoantibodies were measured using enzyme-linked immunosorbent assays. Conclusion Islet autoantibody levels provide additional information over positivity in T1D at diagnosis. Bimodality of GADA and IA-2A autoantibody levels highlights the novel aspect of heterogeneity of T1D. This may have implications for T1D prediction, treatment, and pathogenesis.
Year:
2022
Year:
2022
Year:
2022
Year:
2022
Year:
2022
Year:
2022
Collaborators (4)
Sarah Flanagan
Associate Professor of Genomic Medicine and Sir Henry Dale Fellow
University of Exeter
Emma Dempster
Associate Professor
University of Exeter
Caroline Wright
Professor
University of Exeter
Anna Long
Academic , Senior Lecturer
University of Bristol
Make your next move.
Prepare your application
Review drafts before you send them.