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A genome-wide association study identifies KIAA0350 as a type 1 diabetes gene

Author

Listed:
  • Hakon Hakonarson

    (Center for Applied Genomics, and,
    and)

  • Struan F. A. Grant

    (Center for Applied Genomics, and,
    and)

  • Jonathan P. Bradfield

    (Center for Applied Genomics, and,)

  • Luc Marchand

    (McGill University, Montreal H3H 1P3, Québec, Canada)

  • Cecilia E. Kim

    (Center for Applied Genomics, and,)

  • Joseph T. Glessner

    (Center for Applied Genomics, and,)

  • Rosemarie Grabs

    (McGill University, Montreal H3H 1P3, Québec, Canada)

  • Tracy Casalunovo

    (Center for Applied Genomics, and,)

  • Shayne P. Taback

    (University of Manitoba, Winnipeg R3E 0Z2, Manitoba, Canada)

  • Edward C. Frackelton

    (Center for Applied Genomics, and,)

  • Margaret L. Lawson

    (Children’s Hospital of Eastern Ontario, University of Ottawa, Ottawa K1H 8L1, Ontario, Canada)

  • Luke J. Robinson

    (Center for Applied Genomics, and,)

  • Robert Skraban

    (Center for Applied Genomics, and,)

  • Yang Lu

    (McGill University, Montreal H3H 1P3, Québec, Canada)

  • Rosetta M. Chiavacci

    (Center for Applied Genomics, and,)

  • Charles A. Stanley

    (The Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA)

  • Susan E. Kirsch

    (Markham-Stouffville Hospital, Markham L3P 7P3, Ontario, Canada)

  • Eric F. Rappaport

    (The Children’s Hospital of Philadelphia Nucleic Acid and Protein Core, Philadelphia, Pennsylvania 19104, USA)

  • Jordan S. Orange

    (University of Pennsylvania, School of Medicine, Philadelphia, Pennsylvania 19104, USA)

  • Dimitri S. Monos

    (Abramson Research Center, The Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA
    University of Pennsylvania, School of Medicine, Philadelphia, Pennsylvania 19104, USA)

  • Marcella Devoto

    (and
    Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA)

  • Hui-Qi Qu

    (McGill University, Montreal H3H 1P3, Québec, Canada)

  • Constantin Polychronakos

    (McGill University, Montreal H3H 1P3, Québec, Canada)

Abstract

Novel diabetes gene The discovery of a gene newly implicated in the pathogenesis of type 1 diabetes may boost the development of predictive tests. A genome-wide association study on DNA from more than 500 patients with type 1 diabetes confirms associations with known type-1-diabetes-related genes and a new link to the KIAA0350 gene. This encodes a sugar-binding C-type lectin, one of a group of proteins whose functions include carbohydrate recognition and cell adhesion.

Suggested Citation

  • Hakon Hakonarson & Struan F. A. Grant & Jonathan P. Bradfield & Luc Marchand & Cecilia E. Kim & Joseph T. Glessner & Rosemarie Grabs & Tracy Casalunovo & Shayne P. Taback & Edward C. Frackelton & Marg, 2007. "A genome-wide association study identifies KIAA0350 as a type 1 diabetes gene," Nature, Nature, vol. 448(7153), pages 591-594, August.
    • Handle: RePEc:nat:nature:v:448:y:2007:i:7153:d:10.1038_nature06010
    DOI: 10.1038/nature06010
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    Citations

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    Cited by:

    1. Peristera Paschou & Petros Drineas & Jamey Lewis & Caroline M Nievergelt & Deborah A Nickerson & Joshua D Smith & Paul M Ridker & Daniel I Chasman & Ronald M Krauss & Elad Ziv, 2008. "Tracing Sub-Structure in the European American Population with PCA-Informative Markers," PLOS Genetics, Public Library of Science, vol. 4(7), pages 1-13, July.
    2. Joan Costa-Font & Cristina Vilaplana-Prieto, 2022. "Biased survival expectations and behaviours: Does domain specific information matter?," Journal of Risk and Uncertainty, Springer, vol. 65(3), pages 285-317, December.
    3. Anna L Mitchell & Anette Bøe Wolff & Katie MacArthur & Jolanta U Weaver & Bijay Vaidya & Sophie Bensing on behalf of The Swedish Addison Registry Study Group & Martina M Erichsen & Rebecca Darlay & Ey, 2015. "Linkage Analysis in Autoimmune Addison’s Disease: NFATC1 as a Potential Novel Susceptibility Locus," PLOS ONE, Public Library of Science, vol. 10(6), pages 1-13, June.
    4. 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.
    5. Pei Wang & Shunjie Chen & Sijia Yang, 2022. "Recent Advances on Penalized Regression Models for Biological Data," Mathematics, MDPI, vol. 10(19), pages 1-24, October.
    6. Gabriel E Hoffman & Benjamin A Logsdon & Jason G Mezey, 2013. "PUMA: A Unified Framework for Penalized Multiple Regression Analysis of GWAS Data," PLOS Computational Biology, Public Library of Science, vol. 9(6), pages 1-19, June.
    7. Linlin Tang & Lingyan Wang & Qi Liao & Qinwen Wang & Leiting Xu & Shizhong Bu & Yi Huang & Cheng Zhang & Huadan Ye & Xuting Xu & Qiong Liu & Meng Ye & Yifeng Mai & Shiwei Duan, 2013. "Genetic Associations with Diabetes: Meta-Analyses of 10 Candidate Polymorphisms," PLOS ONE, Public Library of Science, vol. 8(7), pages 1-10, July.
    8. Diana Chang & Alon Keinan, 2014. "Principal Component Analysis Characterizes Shared Pathogenetics from Genome-Wide Association Studies," PLOS Computational Biology, Public Library of Science, vol. 10(9), pages 1-14, September.

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