Literature DB >> 25075402

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

Andrea K Steck1, Fran Dong, Randall Wong, Alexandra Fouts, Edwin Liu, Jihane Romanos, Cisca Wijmenga, Jill M Norris, Marian J Rewers.   

Abstract

OBJECTIVE: The purpose of this study was to explore whether non-human leukocyte antigen (non-HLA) genetic markers can improve type 1 diabetes(T1D) prediction in a prospective cohort with high-risk HLA-DR,DQ genotypes.
METHODS: The Diabetes Autoimmunity Study in the Young (DAISY) follows prospectively for the development of T1D and islet autoimmunity (IA)children at increased genetic risk. A total of 1709 non-Hispanic White DAISY participants have been genotyped for 27 non-HLA single nucleotide polymorphisms (SNPs) and one microsatellite.
RESULTS: In multivariate analyses adjusting for family history and HLA-DR3/4 genotype, PTPN22 (rs2476601) and two UBASH3A (rs11203203 and rs9976767) SNPs were associated with development of IA [hazard ratio(HR)=1.87, 1.55, and 1.54, respectively, all p ≤ 0.003], while GLIS3 and IL2RA showed borderline association with development of IA. INS,UBASH3A, and IFIH1 were significantly associated with progression from IA to diabetes (HR=1.65, 1.44, and 1.47, respectively, all p ≤ 0.04), while PTPN22 and IL27 showed borderline association with progression from IA to diabetes. In survival analysis, 45% of general population DAISY children with PTPN22 rs2476601 TT or HLA-DR3/4 and UBASH3A rs11203203 AA developed diabetes by age 15, compared with 3% of children with all other genotypes (p<0.0001). Addition of non-HLA markers to HLA-DR3/4,DQ8 did not improve diabetes prediction in first-degree relatives.
CONCLUSION: Addition of PTPN22 and UBASH3A SNPs to HLA-DR,DQ genotyping can improve T1D risk prediction. 2013 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  islet autoimmunity; non-HLA genetic markers; prediction; type 1 diabetes

Mesh:

Substances:

Year:  2013        PMID: 25075402      PMCID: PMC4116638          DOI: 10.1111/pedi.12092

Source DB:  PubMed          Journal:  Pediatr Diabetes        ISSN: 1399-543X            Impact factor:   4.866


  25 in total

1.  rs11203203 is associated with type 1 diabetes risk in population pre-screened for high-risk HLA-DR,DQ genotypes.

Authors:  Kelly Johnson; Randall Wong; Katherine J Barriga; Georgeanna Klingensmith; Anette-G Ziegler; Marian J Rewers; Andrea K Steck
Journal:  Pediatr Diabetes       Date:  2012-07-08       Impact factor: 4.866

2.  Models for predicting type 1 diabetes in siblings of affected children.

Authors:  Samy Mrena; Suvi M Virtanen; Pekka Laippala; Petri Kulmala; Marja-Leena Hannila; Hans K Akerblom; Mikael Knip
Journal:  Diabetes Care       Date:  2006-03       Impact factor: 19.112

3.  The role of HLA class II genes in insulin-dependent diabetes mellitus: molecular analysis of 180 Caucasian, multiplex families.

Authors:  J A Noble; A M Valdes; M Cook; W Klitz; G Thomson; H A Erlich
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4.  Association of IL4R haplotypes with type 1 diabetes.

Authors:  Daniel B Mirel; Ana Maria Valdes; Laura C Lazzeroni; Rebecca L Reynolds; Henry A Erlich; Janelle A Noble
Journal:  Diabetes       Date:  2002-11       Impact factor: 9.461

5.  IDDM1 and multiple family history of type 1 diabetes combine to identify neonates at high risk for type 1 diabetes.

Authors:  Ezio Bonifacio; Michael Hummel; Markus Walter; Sandra Schmid; Anette-G Ziegler
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6.  Antiislet autoantibodies usually develop sequentially rather than simultaneously.

Authors:  L Yu; M Rewers; R Gianani; E Kawasaki; Y Zhang; C Verge; P Chase; G Klingensmith; H Erlich; J Norris; G S Eisenbarth
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7.  Newborn screening for HLA markers associated with IDDM: diabetes autoimmunity study in the young (DAISY).

Authors:  M Rewers; T L Bugawan; J M Norris; A Blair; B Beaty; M Hoffman; R S McDuffie; R F Hamman; G Klingensmith; G S Eisenbarth; H A Erlich
Journal:  Diabetologia       Date:  1996-07       Impact factor: 10.122

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Journal:  Nat Genet       Date:  2004-03-07       Impact factor: 38.330

9.  A polymorphic locus near the human insulin gene is associated with insulin-dependent diabetes mellitus.

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Journal:  Diabetes       Date:  1984-02       Impact factor: 9.461

10.  Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls.

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  29 in total

Review 1.  Genetic Risk Scores for Type 1 Diabetes Prediction and Diagnosis.

Authors:  Maria J Redondo; Richard A Oram; Andrea K Steck
Journal:  Curr Diab Rep       Date:  2017-10-28       Impact factor: 4.810

Review 2.  De-coding genetic risk variants in type 1 diabetes.

Authors:  Melanie R Shapiro; Puchong Thirawatananond; Leeana Peters; Robert C Sharp; Similoluwa Ogundare; Amanda L Posgai; Daniel J Perry; Todd M Brusko
Journal:  Immunol Cell Biol       Date:  2021-02-24       Impact factor: 5.126

3.  Late-onset islet autoimmunity in childhood: the Diabetes Autoimmunity Study in the Young (DAISY).

Authors:  Brigitte I Frohnert; Lisa Ide; Fran Dong; Anna E Barón; Andrea K Steck; Jill M Norris; Marian J Rewers
Journal:  Diabetologia       Date:  2017-03-17       Impact factor: 10.122

Review 4.  Genetics and its potential to improve type 1 diabetes care.

Authors:  Stephen S Rich
Journal:  Curr Opin Endocrinol Diabetes Obes       Date:  2017-08       Impact factor: 3.243

5.  A novel approach for the analysis of longitudinal profiles reveals delayed progression to type 1 diabetes in a subgroup of multiple-islet-autoantibody-positive children.

Authors:  David Endesfelder; Michael Hagen; Christiane Winkler; Florian Haupt; Stephanie Zillmer; Annette Knopff; Ezio Bonifacio; Anette-G Ziegler; Wolfgang Zu Castell; Peter Achenbach
Journal:  Diabetologia       Date:  2016-07-11       Impact factor: 10.122

6.  Prediction of type 1 diabetes using a genetic risk model in the Diabetes Autoimmunity Study in the Young.

Authors:  Brigitte I Frohnert; Michael Laimighofer; Jan Krumsiek; Fabian J Theis; Christiane Winkler; Jill M Norris; Anette-Gabriele Ziegler; Marian J Rewers; Andrea K Steck
Journal:  Pediatr Diabetes       Date:  2017-07-11       Impact factor: 4.866

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

Authors:  Andrea K Steck; Ping Xu; Susan Geyer; Maria J Redondo; Peter Antinozzi; John M Wentworth; Jay Sosenko; Suna Onengut-Gumuscu; Wei-Min Chen; Stephen S Rich; Alberto Pugliese
Journal:  J Clin Endocrinol Metab       Date:  2017-08-01       Impact factor: 5.958

8.  DNA methylation near the INS gene is associated with INS genetic variation (rs689) and type 1 diabetes in the Diabetes Autoimmunity Study in the Young.

Authors:  Patrick M Carry; Lauren A Vanderlinden; Randi K Johnson; Fran Dong; Andrea K Steck; Brigitte I Frohnert; Marian Rewers; Ivana V Yang; Katerina Kechris; Jill M Norris
Journal:  Pediatr Diabetes       Date:  2020-02-28       Impact factor: 4.866

9.  The relationship between BMI and insulin resistance and progression from single to multiple autoantibody positivity and type 1 diabetes among TrialNet Pathway to Prevention participants.

Authors:  Farah A Meah; Linda A DiMeglio; Carla J Greenbaum; Janice S Blum; Jay M Sosenko; Alberto Pugliese; Susan Geyer; Ping Xu; Carmella Evans-Molina
Journal:  Diabetologia       Date:  2016-03-19       Impact factor: 10.122

Review 10.  Transcription factor GLIS3: Critical roles in thyroid hormone biosynthesis, hypothyroidism, pancreatic beta cells and diabetes.

Authors:  David W Scoville; Hong Soon Kang; Anton M Jetten
Journal:  Pharmacol Ther       Date:  2020-07-18       Impact factor: 12.310

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