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Genome-Wide Association Analysis of Autoantibody Positivity in Type 1 Diabetes Cases

Author

Listed:
  • Vincent Plagnol
  • Joanna M M Howson
  • Deborah J Smyth
  • Neil Walker
  • Jason P Hafler
  • Chris Wallace
  • Helen Stevens
  • Laura Jackson
  • Matthew J Simmonds
  • Type 1 Diabetes Genetics Consortium
  • Polly J Bingley
  • Stephen C Gough
  • John A Todd

Abstract

The genetic basis of autoantibody production is largely unknown outside of associations located in the major histocompatibility complex (MHC) human leukocyte antigen (HLA) region. The aim of this study is the discovery of new genetic associations with autoantibody positivity using genome-wide association scan single nucleotide polymorphism (SNP) data in type 1 diabetes (T1D) patients with autoantibody measurements. We measured two anti-islet autoantibodies, glutamate decarboxylase (GADA, n = 2,506), insulinoma-associated antigen 2 (IA-2A, n = 2,498), antibodies to the autoimmune thyroid (Graves') disease (AITD) autoantigen thyroid peroxidase (TPOA, n = 8,300), and antibodies against gastric parietal cells (PCA, n = 4,328) that are associated with autoimmune gastritis. Two loci passed a stringent genome-wide significance level (p

Suggested Citation

  • Vincent Plagnol & Joanna M M Howson & Deborah J Smyth & Neil Walker & Jason P Hafler & Chris Wallace & Helen Stevens & Laura Jackson & Matthew J Simmonds & Type 1 Diabetes Genetics Consortium & Polly , 2011. "Genome-Wide Association Analysis of Autoantibody Positivity in Type 1 Diabetes Cases," PLOS Genetics, Public Library of Science, vol. 7(8), pages 1-9, August.
    • Handle: RePEc:plo:pgen00:1002216
    DOI: 10.1371/journal.pgen.1002216
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    Cited by:

    1. Chachrit Khunsriraksakul & Qinmengge Li & Havell Markus & Matthew T. Patrick & Renan Sauteraud & Daniel McGuire & Xingyan Wang & Chen Wang & Lida Wang & Siyuan Chen & Ganesh Shenoy & Bingshan Li & Xue, 2023. "Multi-ancestry and multi-trait genome-wide association meta-analyses inform clinical risk prediction for systemic lupus erythematosus," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
    2. Mathias Seviiri & Matthew H. Law & Jue-Sheng Ong & Puya Gharahkhani & Pierre Fontanillas & Catherine M. Olsen & David C. Whiteman & Stuart MacGregor, 2022. "A multi-phenotype analysis reveals 19 susceptibility loci for basal cell carcinoma and 15 for squamous cell carcinoma," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    3. Maggie C Y Ng & Daniel Shriner & Brian H Chen & Jiang Li & Wei-Min Chen & Xiuqing Guo & Jiankang Liu & Suzette J Bielinski & Lisa R Yanek & Michael A Nalls & Mary E Comeau & Laura J Rasmussen-Torvik &, 2014. "Meta-Analysis of Genome-Wide Association Studies in African Americans Provides Insights into the Genetic Architecture of Type 2 Diabetes," PLOS Genetics, Public Library of Science, vol. 10(8), pages 1-14, August.
    4. Claude Renaux & Laura Buzdugan & Markus Kalisch & Peter Bühlmann, 2020. "Hierarchical inference for genome-wide association studies: a view on methodology with software," Computational Statistics, Springer, vol. 35(1), pages 1-40, March.

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