Literature DB >> 33387073

The β-Cell Genomic Landscape in T1D: Implications for Disease Pathogenesis.

Mireia Ramos-Rodríguez1, Beatriz Pérez-González1, Lorenzo Pasquali2.   

Abstract

PURPOSE OF REVIEW: Type 1 diabetes (T1D) develops as a consequence of a combination of genetic predisposition and environmental factors. Combined, these events trigger an autoimmune disease that results in progressive loss of pancreatic β cells, leading to insulin deficiency. This article reviews the current knowledge on the genetics of T1D with a specific focus on genetic variation in pancreatic islet regulatory networks and its implication to T1D risk and disease development. RECENT
FINDINGS: Accumulating evidence suggest an active role of β cells in T1D pathogenesis. Based on such observation several studies aimed in mapping T1D risk variants acting at the β cell level. Such studies unravel T1D risk loci shared with type 2 diabetes (T2D) and T1D risk variants potentially interfering with β-cell responses to external stimuli. The characterization of regulatory genomics maps of disease-relevant states and cell types can be used to elucidate the mechanistic role of β cells in the pathogenesis of T1D.

Entities:  

Keywords:  Beta cells; Epigenomics; Human genetics; Pancreatic islets; Regulatory genomics; Type 1 diabetes

Year:  2021        PMID: 33387073      PMCID: PMC7778620          DOI: 10.1007/s11892-020-01370-4

Source DB:  PubMed          Journal:  Curr Diab Rep        ISSN: 1534-4827            Impact factor:   4.810


  81 in total

1.  Chromatin stretch enhancer states drive cell-specific gene regulation and harbor human disease risk variants.

Authors:  Stephen C J Parker; Michael L Stitzel; D Leland Taylor; Jose Miguel Orozco; Michael R Erdos; Jennifer A Akiyama; Kelly Lammerts van Bueren; Peter S Chines; Narisu Narisu; Brian L Black; Axel Visel; Len A Pennacchio; Francis S Collins
Journal:  Proc Natl Acad Sci U S A       Date:  2013-10-14       Impact factor: 11.205

2.  Conventional and Neo-antigenic Peptides Presented by β Cells Are Targeted by Circulating Naïve CD8+ T Cells in Type 1 Diabetic and Healthy Donors.

Authors:  Sergio Gonzalez-Duque; Marie Eliane Azoury; Maikel L Colli; Georgia Afonso; Jean-Valery Turatsinze; Laura Nigi; Ana Ines Lalanne; Guido Sebastiani; Alexia Carré; Sheena Pinto; Slobodan Culina; Noémie Corcos; Marco Bugliani; Piero Marchetti; Mathieu Armanet; Marc Diedisheim; Bruno Kyewski; Lars M Steinmetz; Søren Buus; Sylvaine You; Daniele Dubois-Laforgue; Etienne Larger; Jean-Paul Beressi; Graziella Bruno; Francesco Dotta; Raphael Scharfmann; Decio L Eizirik; Yann Verdier; Joelle Vinh; Roberto Mallone
Journal:  Cell Metab       Date:  2018-08-02       Impact factor: 27.287

3.  Letter: HL-A antigens and diabetes mellitus.

Authors:  A G Cudworth; J C Woodrow
Journal:  Lancet       Date:  1974-11-09       Impact factor: 79.321

4.  The insulin gene is transcribed in the human thymus and transcription levels correlated with allelic variation at the INS VNTR-IDDM2 susceptibility locus for type 1 diabetes.

Authors:  A Pugliese; M Zeller; A Fernandez; L J Zalcberg; R J Bartlett; C Ricordi; M Pietropaolo; G S Eisenbarth; S T Bennett; D D Patel
Journal:  Nat Genet       Date:  1997-03       Impact factor: 38.330

Review 5.  Developing and evaluating polygenic risk prediction models for stratified disease prevention.

Authors:  Nilanjan Chatterjee; Jianxin Shi; Montserrat García-Closas
Journal:  Nat Rev Genet       Date:  2016-05-03       Impact factor: 53.242

6.  Susceptibility to human type 1 diabetes at IDDM2 is determined by tandem repeat variation at the insulin gene minisatellite locus.

Authors:  S T Bennett; A M Lucassen; S C Gough; E E Powell; D E Undlien; L E Pritchard; M E Merriman; Y Kawaguchi; M J Dronsfield; F Pociot
Journal:  Nat Genet       Date:  1995-03       Impact factor: 38.330

7.  Linking disease associations with regulatory information in the human genome.

Authors:  Marc A Schaub; Alan P Boyle; Anshul Kundaje; Serafim Batzoglou; Michael Snyder
Journal:  Genome Res       Date:  2012-09       Impact factor: 9.043

8.  The Pancreatic Islet Regulome Browser.

Authors:  Loris Mularoni; Mireia Ramos-Rodríguez; Lorenzo Pasquali
Journal:  Front Genet       Date:  2017-02-14       Impact factor: 4.599

9.  Integrative annotation of chromatin elements from ENCODE data.

Authors:  Michael M Hoffman; Jason Ernst; Steven P Wilder; Anshul Kundaje; Robert S Harris; Max Libbrecht; Belinda Giardine; Paul M Ellenbogen; Jeffrey A Bilmes; Ewan Birney; Ross C Hardison; Ian Dunham; Manolis Kellis; William Stafford Noble
Journal:  Nucleic Acids Res       Date:  2012-12-05       Impact factor: 16.971

10.  Single-cell transcriptomics identifies an effectorness gradient shaping the response of CD4+ T cells to cytokines.

Authors:  Eddie Cano-Gamez; Blagoje Soskic; Theodoros I Roumeliotis; Ernest So; Deborah J Smyth; Marta Baldrighi; David Willé; Nikolina Nakic; Jorge Esparza-Gordillo; Christopher G C Larminie; Paola G Bronson; David F Tough; Wendy C Rowan; Jyoti S Choudhary; Gosia Trynka
Journal:  Nat Commun       Date:  2020-04-14       Impact factor: 14.919

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