Literature DB >> 19956093

Overview of the Type I Diabetes Genetics Consortium.

S S Rich1, B Akolkar, P Concannon, H Erlich, J E Hilner, C Julier, G Morahan, J Nerup, C Nierras, F Pociot, J A Todd.   

Abstract

The Type I Diabetes Genetics Consortium (T1DGC) is an international, multicenter research program with two primary goals. The first goal is to identify genomic regions and candidate genes whose variants modify an individual's risk of type I diabetes (T1D) and help explain the clustering of the disease in families. The second goal is to make research data available to the research community and to establish resources that can be used by, and that are fully accessible to, the research community. To facilitate the access to these resources, the T1DGC has developed a Consortium Agreement (http://www.t1dgc.org) that specifies the rights and responsibilities of investigators who participate in Consortium activities. The T1DGC has assembled a resource of affected sib-pair families, parent-child trios, and case-control collections with banks of DNA, serum, plasma, and EBV-transformed cell lines. In addition, both candidate gene and genome-wide (linkage and association) studies have been performed and displayed in T1DBase (http://www.t1dbase.org) for all researchers to use in their own investigations. In this supplement, a subset of the T1DGC collection has been used to investigate earlier published candidate genes for T1D, to confirm the results from a genome-wide association scan for T1D, and to determine associations with candidate genes for other autoimmune diseases or with type II diabetes that may be involved with beta-cell function.

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Year:  2009        PMID: 19956093      PMCID: PMC2805448          DOI: 10.1038/gene.2009.84

Source DB:  PubMed          Journal:  Genes Immun        ISSN: 1466-4879            Impact factor:   2.676


  24 in total

1.  Association analysis of SNPs in the IL4R locus with type I diabetes.

Authors:  H A Erlich; K Lohman; S J Mack; A M Valdes; C Julier; D Mirel; J A Noble; G E Morahan; S S Rich
Journal:  Genes Immun       Date:  2009-12       Impact factor: 2.676

2.  Overview of the Rapid Response data.

Authors:  W M Brown; J J Pierce; J E Hilner; L H Perdue; K Lohman; L Lu; P I W de Bakker; K Irenze; L Ziaugra; D B Mirel
Journal:  Genes Immun       Date:  2009-12       Impact factor: 2.676

3.  rs2476601 T allele (R620W) defines high-risk PTPN22 type I diabetes-associated haplotypes with preliminary evidence for an additional protective haplotype.

Authors:  A K Steck; E E Baschal; J M Jasinski; B O Boehm; N Bottini; P Concannon; C Julier; G Morahan; J A Noble; C Polychronakos; J X She; G S Eisenbarth
Journal:  Genes Immun       Date:  2009-12       Impact factor: 2.676

4.  No association of the IRS1 and PAX4 genes with type I diabetes.

Authors:  R Bergholdt; C Brorsson; B Boehm; G Morahan; F Pociot
Journal:  Genes Immun       Date:  2009-12       Impact factor: 2.676

5.  Association analyses of the vitamin D receptor gene in 1654 families with type I diabetes.

Authors:  H Kahles; G Morahan; J A Todd; K Badenhoop
Journal:  Genes Immun       Date:  2009-12       Impact factor: 2.676

6.  The type I diabetes association of the IL2RA locus.

Authors:  H-Q Qu; J P Bradfield; A Bélisle; S F A Grant; H Hakonarson; C Polychronakos
Journal:  Genes Immun       Date:  2009-12       Impact factor: 2.676

7.  Evidence for association of the TCF7 locus with type I diabetes.

Authors:  H A Erlich; A M Valdes; C Julier; D Mirel; J A Noble
Journal:  Genes Immun       Date:  2009-12       Impact factor: 2.676

8.  Remapping the type I diabetes association of the CTLA4 locus.

Authors:  H-Q Qu; J P Bradfield; S F A Grant; H Hakonarson; C Polychronakos
Journal:  Genes Immun       Date:  2009-12       Impact factor: 2.676

9.  Meta-analysis of genome-wide association data and large-scale replication identifies additional susceptibility loci for type 2 diabetes.

Authors:  Eleftheria Zeggini; Laura J Scott; Richa Saxena; Benjamin F Voight; Jonathan L Marchini; Tianle Hu; Paul I W de Bakker; Gonçalo R Abecasis; Peter Almgren; Gitte Andersen; Kristin Ardlie; Kristina Bengtsson Boström; Richard N Bergman; Lori L Bonnycastle; Knut Borch-Johnsen; Noël P Burtt; Hong Chen; Peter S Chines; Mark J Daly; Parimal Deodhar; Chia-Jen Ding; Alex S F Doney; William L Duren; Katherine S Elliott; Michael R Erdos; Timothy M Frayling; Rachel M Freathy; Lauren Gianniny; Harald Grallert; Niels Grarup; Christopher J Groves; Candace Guiducci; Torben Hansen; Christian Herder; Graham A Hitman; Thomas E Hughes; Bo Isomaa; Anne U Jackson; Torben Jørgensen; Augustine Kong; Kari Kubalanza; Finny G Kuruvilla; Johanna Kuusisto; Claudia Langenberg; Hana Lango; Torsten Lauritzen; Yun Li; Cecilia M Lindgren; Valeriya Lyssenko; Amanda F Marvelle; Christa Meisinger; Kristian Midthjell; Karen L Mohlke; Mario A Morken; Andrew D Morris; Narisu Narisu; Peter Nilsson; Katharine R Owen; Colin N A Palmer; Felicity Payne; John R B Perry; Elin Pettersen; Carl Platou; Inga Prokopenko; Lu Qi; Li Qin; Nigel W Rayner; Matthew Rees; Jeffrey J Roix; Anelli Sandbaek; Beverley Shields; Marketa Sjögren; Valgerdur Steinthorsdottir; Heather M Stringham; Amy J Swift; Gudmar Thorleifsson; Unnur Thorsteinsdottir; Nicholas J Timpson; Tiinamaija Tuomi; Jaakko Tuomilehto; Mark Walker; Richard M Watanabe; Michael N Weedon; Cristen J Willer; Thomas Illig; Kristian Hveem; Frank B Hu; Markku Laakso; Kari Stefansson; Oluf Pedersen; Nicholas J Wareham; Inês Barroso; Andrew T Hattersley; Francis S Collins; Leif Groop; Mark I McCarthy; Michael Boehnke; David Altshuler
Journal:  Nat Genet       Date:  2008-03-30       Impact factor: 38.330

10.  Genome-wide scan for linkage to type 1 diabetes in 2,496 multiplex families from the Type 1 Diabetes Genetics Consortium.

Authors:  Patrick Concannon; Wei-Min Chen; Cécile Julier; Grant Morahan; Beena Akolkar; Henry A Erlich; Joan E Hilner; Jørn Nerup; Concepcion Nierras; Flemming Pociot; John A Todd; Stephen S Rich
Journal:  Diabetes       Date:  2009-01-09       Impact factor: 9.461

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  26 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

2.  Systematic Evaluation of Genes and Genetic Variants Associated with Type 1 Diabetes Susceptibility.

Authors:  Ramesh Ram; Munish Mehta; Quang T Nguyen; Irma Larma; Bernhard O Boehm; Flemming Pociot; Patrick Concannon; Grant Morahan
Journal:  J Immunol       Date:  2016-02-24       Impact factor: 5.422

3.  Introduction.

Authors: 
Journal:  Diabetes Care       Date:  2015-01       Impact factor: 19.112

4.  Predicting disease-related subnetworks for type 1 diabetes using a new network activity score.

Authors:  Shouguo Gao; Shuang Jia; Martin J Hessner; Xujing Wang
Journal:  OMICS       Date:  2012-08-23

Review 5.  Early-life factors contributing to type 1 diabetes.

Authors:  Maria E Craig; Ki Wook Kim; Sonia R Isaacs; Megan A Penno; Emma E Hamilton-Williams; Jennifer J Couper; William D Rawlinson
Journal:  Diabetologia       Date:  2019-08-27       Impact factor: 10.122

Review 6.  Targeting dysfunctional beta-cell signaling for the potential treatment of type 1 diabetes mellitus.

Authors:  Rachel J Fenske; Michelle E Kimple
Journal:  Exp Biol Med (Maywood)       Date:  2018-03-04

Review 7.  Genetics of type 1 diabetes.

Authors:  Maria J Redondo; Andrea K Steck; Alberto Pugliese
Journal:  Pediatr Diabetes       Date:  2017-11-02       Impact factor: 4.866

8.  The Type I Diabetes Genetics Consortium 'Rapid Response' family-based candidate gene study: strategy, genes selection, and main outcome.

Authors:  C Julier; B Akolkar; P Concannon; G Morahan; C Nierras; A Pugliese
Journal:  Genes Immun       Date:  2009-12       Impact factor: 2.676

Review 9.  Clinical and research uses of genetic risk scores in type 1 diabetes.

Authors:  Seth A Sharp; Michael N Weedon; William A Hagopian; Richard A Oram
Journal:  Curr Opin Genet Dev       Date:  2018-04-24       Impact factor: 5.578

Review 10.  Genome Editing Human Pluripotent Stem Cells to Model β-Cell Disease and Unmask Novel Genetic Modifiers.

Authors:  Matthew N George; Karla F Leavens; Paul Gadue
Journal:  Front Endocrinol (Lausanne)       Date:  2021-06-02       Impact factor: 6.055

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