Literature DB >> 28520980

Can Non-HLA Single Nucleotide Polymorphisms Help Stratify Risk in TrialNet Relatives at Risk for Type 1 Diabetes?

Andrea K Steck1, Ping Xu2, Susan Geyer2, Maria J Redondo3, Peter Antinozzi4, John M Wentworth5,6, Jay Sosenko7, Suna Onengut-Gumuscu8, Wei-Min Chen8, Stephen S Rich8, Alberto Pugliese7,9.   

Abstract

Context: Genome-wide association studies identified >50 type 1 diabetes (T1D) associated non-human leukocyte antigens (non-HLA) loci. Objective: The purpose of this study was to assess the contribution of non-HLA single nucleotide polymorphisms (SNPs) to risk of disease progression. Design and Setting: The TrialNet Pathway to Prevention Study follows relatives of T1D patients for development of autoantibodies (Abs) and T1D. Participants: Using the Immunochip, we analyzed 53 diabetes-associated, non-HLA SNPs in 1016 Ab-positive, at-risk non-Hispanic white relatives. Main Outcome Measure: Effect of SNPs on the development of multiple Abs and T1D.
Results: Cox proportional analyses included all substantial non-HLA SNPs, HLA genotypes, relationship to proband, sex, age at initial screening, initial Ab type, and number. Factors involved in progression from single to multiple Abs included age at screening, relationship to proband, HLA genotypes, and rs3087243 (cytotoxic T lymphocyte antigen-4). Significant factors for diabetes progression included age at screening, Ab number, HLA genotypes, rs6476839 [GLIS family zinc finger 3 (GLIS3)], and rs3184504 [SH2B adaptor protein 3 (SH2B3)]. When glucose area under the curve (AUC) was included, factors involved in disease progression included glucose AUC, age at screening, Ab number, relationship to proband, HLA genotypes, rs6476839 (GLIS3), and rs7221109 (CCR7). In stratified analyses by age, glucose AUC, age at screening, sibling, HLA genotypes, rs6476839 (GLIS3), and rs4900384 (C14orf64) were significantly associated with progression to diabetes in participants <12 years old, whereas glucose AUC, sibling, rs3184504 (SH2B3), and rs4900384 (C14orf64) were significant in those ≥12. Conclusions: In conclusion, we identified five non-HLA SNPs associated with increased risk of progression from Ab positivity to disease that may improve risk stratification for prevention trials.
Copyright © 2017 by the Endocrine Society

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Year:  2017        PMID: 28520980      PMCID: PMC5546868          DOI: 10.1210/jc.2016-4003

Source DB:  PubMed          Journal:  J Clin Endocrinol Metab        ISSN: 0021-972X            Impact factor:   5.958


  25 in total

Review 1.  Genetics, pathogenesis and clinical interventions in type 1 diabetes.

Authors:  Jeffrey A Bluestone; Kevan Herold; George Eisenbarth
Journal:  Nature       Date:  2010-04-29       Impact factor: 49.962

2.  CCR7 directs the recruitment of T cells into inflamed pancreatic islets of nonobese diabetic (NOD) mice.

Authors:  Zhongyan Shan; Baohui Xu; Anna Mikulowska-Mennis; Sara A Michie
Journal:  Immunol Res       Date:  2014-05       Impact factor: 2.829

Review 3.  Genetic insights into common pathways and complex relationships among immune-mediated diseases.

Authors:  Miles Parkes; Adrian Cortes; David A van Heel; Matthew A Brown
Journal:  Nat Rev Genet       Date:  2013-08-06       Impact factor: 53.242

4.  A strategy to find gene combinations that identify children who progress rapidly to type 1 diabetes after islet autoantibody seroconversion.

Authors:  Ezio Bonifacio; Jan Krumsiek; Christiane Winkler; Fabian J Theis; Anette-Gabriele Ziegler
Journal:  Acta Diabetol       Date:  2013-11-19       Impact factor: 4.280

5.  The TrialNet Natural History Study of the Development of Type 1 Diabetes: objectives, design, and initial results.

Authors:  Jeffrey L Mahon; Jay M Sosenko; Lisa Rafkin-Mervis; Heidi Krause-Steinrauf; John M Lachin; Clinton Thompson; Polly J Bingley; Ezio Bonifacio; Jerry P Palmer; George S Eisenbarth; Joseph Wolfsdorf; Jay S Skyler
Journal:  Pediatr Diabetes       Date:  2008-09-24       Impact factor: 4.866

6.  Feature ranking of type 1 diabetes susceptibility genes improves prediction of type 1 diabetes.

Authors:  Christiane Winkler; Jan Krumsiek; Florian Buettner; Christof Angermüller; Eleni Z Giannopoulou; Fabian J Theis; Anette-Gabriele Ziegler; Ezio Bonifacio
Journal:  Diabetologia       Date:  2014-09-04       Impact factor: 10.122

7.  Mutations in GLIS3 are responsible for a rare syndrome with neonatal diabetes mellitus and congenital hypothyroidism.

Authors:  Valérie Senée; Claude Chelala; Sabine Duchatelet; Daorong Feng; Hervé Blanc; Jack-Christophe Cossec; Céline Charon; Marc Nicolino; Pascal Boileau; Douglas R Cavener; Pierre Bougnères; Doris Taha; Cécile Julier
Journal:  Nat Genet       Date:  2006-05-21       Impact factor: 38.330

8.  Transcription factor Glis3, a novel critical player in the regulation of pancreatic beta-cell development and insulin gene expression.

Authors:  Hong Soon Kang; Yong-Sik Kim; Gary ZeRuth; Ju Youn Beak; Kevin Gerrish; Gamze Kilic; Beatriz Sosa-Pineda; Jan Jensen; Christophe E Pierreux; Frederic P Lemaigre; Julie Foley; Anton M Jetten
Journal:  Mol Cell Biol       Date:  2009-10-05       Impact factor: 4.272

9.  Improving prediction of type 1 diabetes by testing non-HLA genetic variants in addition to HLA markers.

Authors:  Andrea K Steck; Fran Dong; Randall Wong; Alexandra Fouts; Edwin Liu; Jihane Romanos; Cisca Wijmenga; Jill M Norris; Marian J Rewers
Journal:  Pediatr Diabetes       Date:  2013-11-08       Impact factor: 4.866

10.  Meta-analysis of genome-wide association study data identifies additional type 1 diabetes risk loci.

Authors:  Jason D Cooper; Deborah J Smyth; Adam M Smiles; Vincent Plagnol; Neil M Walker; James E Allen; Kate Downes; Jeffrey C Barrett; Barry C Healy; Josyf C Mychaleckyj; James H Warram; John A Todd
Journal:  Nat Genet       Date:  2008-11-02       Impact factor: 38.330

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  8 in total

1.  The Influence of Type 2 Diabetes-Associated Factors on Type 1 Diabetes.

Authors:  Maria J Redondo; Carmella Evans-Molina; Andrea K Steck; Mark A Atkinson; Jay Sosenko
Journal:  Diabetes Care       Date:  2019-06-04       Impact factor: 19.112

2.  Strength in Numbers: Opportunities for Enhancing the Development of Effective Treatments for Type 1 Diabetes-The TrialNet Experience.

Authors:  Carla J Greenbaum; Cate Speake; Jeffrey Krischer; Jane Buckner; Peter A Gottlieb; Desmond A Schatz; Kevan C Herold; Mark A Atkinson
Journal:  Diabetes       Date:  2018-05-16       Impact factor: 9.461

3.  Ethnic differences in progression of islet autoimmunity and type 1 diabetes in relatives at risk.

Authors:  Mustafa Tosur; Susan M Geyer; Henry Rodriguez; Ingrid Libman; David A Baidal; Maria J Redondo
Journal:  Diabetologia       Date:  2018-06-21       Impact factor: 10.122

4.  Variants in the BACH2 and CLEC16A gene might be associated with susceptibility to insulin-triggered type 1 diabetes.

Authors:  Hiroshi Onuma; Ryoichi Kawamura; Yasuharu Tabara; Masakatsu Yamashita; Jun Ohashi; Eiji Kawasaki; Akihisa Imagawa; Yuya Yamada; Daisuke Chujo; Kenji Takahashi; Tadashi Suehiro; Yasunori Takata; Haruhiko Osawa; Hideichi Makino
Journal:  J Diabetes Investig       Date:  2019-05-14       Impact factor: 4.232

5.  Identifying the lungs as a susceptible site for allele-specific regulatory changes associated with type 1 diabetes risk.

Authors:  Daniel Ho; Denis M Nyaga; William Schierding; Richard Saffery; Jo K Perry; John A Taylor; Mark H Vickers; Andreas W Kempa-Liehr; Justin M O'Sullivan
Journal:  Commun Biol       Date:  2021-09-14

6.  Evaluating T cell responses prior to the onset of type 1 diabetes.

Authors:  Sefina Arif; Norkhairin Yusuf; Clara Domingo-Vila; Yuk-Fun Liu; Polly J Bingley; Mark Peakman
Journal:  Diabet Med       Date:  2022-05-09       Impact factor: 4.213

7.  Untangling the genetic link between type 1 and type 2 diabetes using functional genomics.

Authors:  Denis M Nyaga; Mark H Vickers; Craig Jefferies; Tayaza Fadason; Justin M O'Sullivan
Journal:  Sci Rep       Date:  2021-07-06       Impact factor: 4.379

8.  Clinical and genetic correlates of islet-autoimmune signatures in juvenile-onset type 1 diabetes.

Authors:  Laura A Claessens; Joris Wesselius; Menno van Lummel; Sandra Laban; Flip Mulder; Dick Mul; Tanja Nikolic; Henk-Jan Aanstoot; Bobby P C Koeleman; Bart O Roep
Journal:  Diabetologia       Date:  2019-11-21       Impact factor: 10.122

  8 in total

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