Literature DB >> 20885991

Advances and challenges in biomarker development for type 1 diabetes prediction and prevention using omic technologies.

Colleen Carey1, Sharad Purohit, Jin-Xiong She.   

Abstract

IMPORTANCE OF THE FIELD: Biomarkers are essential for the identification of high risk children as well as monitoring of prevention outcomes for type 1 diabetes (T1D). AREAS COVERED IN THIS REVIEW: This review discusses progress, opportunities and challenges in biomarker discovery and validation using high throughput genomic, transcriptomic and proteomic technologies. The authors also suggest potential solutions to deal with the current challenges. WHAT THE READER WILL GAIN: Readers will gain an overview of the current status on T1D biomarkers, an integrated review of three omic technologies, their applications and limitations for biomarker discovery and validation, and a critical discussion of the major issues encountered in biomarker development. TAKE HOME MESSAGE: Better biomarkers are still urgently needed for T1D prediction and prevention. The high throughput omic technologies offer great opportunities but also face significant challenges that have to be solved before their potential for biomarker development is fully realized.

Entities:  

Year:  2010        PMID: 20885991      PMCID: PMC2946241          DOI: 10.1517/17530059.2010.508492

Source DB:  PubMed          Journal:  Expert Opin Med Diagn        ISSN: 1753-0059


  102 in total

Review 1.  Diabetes in Asia: epidemiology, risk factors, and pathophysiology.

Authors:  Juliana C N Chan; Vasanti Malik; Weiping Jia; Takashi Kadowaki; Chittaranjan S Yajnik; Kun-Ho Yoon; Frank B Hu
Journal:  JAMA       Date:  2009-05-27       Impact factor: 56.272

Review 2.  Genome-wide association studies in type 1 diabetes.

Authors:  Struan F A Grant; Hakon Hakonarson
Journal:  Curr Diab Rep       Date:  2009-04       Impact factor: 4.810

3.  Tissue- and age-specific changes in gene expression during disease induction and progression in NOD mice.

Authors:  Keiichi Kodama; Atul J Butte; Remi J Creusot; Leon Su; Deqiao Sheng; Mark Hartnett; Hideyuki Iwai; Luis R Soares; C Garrison Fathman
Journal:  Clin Immunol       Date:  2008-09-17       Impact factor: 3.969

4.  Monocyte gene-expression profiles associated with childhood-onset type 1 diabetes and disease risk: a study of identical twins.

Authors:  Huriya Beyan; Roosmarijn C Drexhage; Leonie van der Heul Nieuwenhuijsen; Harm de Wit; Roosmarijn C Padmos; Nanette C Schloot; Hemmo A Drexhage; Richard David Leslie
Journal:  Diabetes       Date:  2010-04-14       Impact factor: 9.461

5.  Genome-wide association analysis identifies loci for type 2 diabetes and triglyceride levels.

Authors:  Richa Saxena; Benjamin F Voight; Valeriya Lyssenko; Noël P Burtt; Paul I W de Bakker; Hong Chen; Jeffrey J Roix; Sekar Kathiresan; Joel N Hirschhorn; Mark J Daly; Thomas E Hughes; Leif Groop; David Altshuler; Peter Almgren; Jose C Florez; Joanne Meyer; Kristin Ardlie; Kristina Bengtsson Boström; Bo Isomaa; Guillaume Lettre; Ulf Lindblad; Helen N Lyon; Olle Melander; Christopher Newton-Cheh; Peter Nilsson; Marju Orho-Melander; Lennart Råstam; Elizabeth K Speliotes; Marja-Riitta Taskinen; Tiinamaija Tuomi; Candace Guiducci; Anna Berglund; Joyce Carlson; Lauren Gianniny; Rachel Hackett; Liselotte Hall; Johan Holmkvist; Esa Laurila; Marketa Sjögren; Maria Sterner; Aarti Surti; Margareta Svensson; Malin Svensson; Ryan Tewhey; Brendan Blumenstiel; Melissa Parkin; Matthew Defelice; Rachel Barry; Wendy Brodeur; Jody Camarata; Nancy Chia; Mary Fava; John Gibbons; Bob Handsaker; Claire Healy; Kieu Nguyen; Casey Gates; Carrie Sougnez; Diane Gage; Marcia Nizzari; Stacey B Gabriel; Gung-Wei Chirn; Qicheng Ma; Hemang Parikh; Delwood Richardson; Darrell Ricke; Shaun Purcell
Journal:  Science       Date:  2007-04-26       Impact factor: 47.728

6.  A novel susceptibility locus for type 1 diabetes on Chr12q13 identified by a genome-wide association study.

Authors:  Hakon Hakonarson; Hui-Qi Qu; Jonathan P Bradfield; Luc Marchand; Cecilia E Kim; Joseph T Glessner; Rosemarie Grabs; Tracy Casalunovo; Shayne P Taback; Edward C Frackelton; Andrew W Eckert; Kiran Annaiah; Margaret L Lawson; F George Otieno; Erin Santa; Julie L Shaner; Ryan M Smith; Chioma C Onyiah; Robert Skraban; Rosetta M Chiavacci; Luke J Robinson; Charles A Stanley; Susan E Kirsch; Marcella Devoto; Dimitri S Monos; Struan F A Grant; Constantin Polychronakos
Journal:  Diabetes       Date:  2008-01-15       Impact factor: 9.461

7.  Loci on 20q13 and 21q22 are associated with pediatric-onset inflammatory bowel disease.

Authors:  Subra Kugathasan; Robert N Baldassano; Jonathan P Bradfield; Patrick M A Sleiman; Marcin Imielinski; Stephen L Guthery; Salvatore Cucchiara; Cecilia E Kim; Edward C Frackelton; Kiran Annaiah; Joseph T Glessner; Erin Santa; Tara Willson; Andrew W Eckert; Erin Bonkowski; Julie L Shaner; Ryan M Smith; F George Otieno; Nicholas Peterson; Debra J Abrams; Rosetta M Chiavacci; Robert Grundmeier; Petar Mamula; Gitit Tomer; David A Piccoli; Dimitri S Monos; Vito Annese; Lee A Denson; Struan F A Grant; Hakon Hakonarson
Journal:  Nat Genet       Date:  2008-08-31       Impact factor: 38.330

8.  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

9.  Analysis of 17 autoimmune disease-associated variants in type 1 diabetes identifies 6q23/TNFAIP3 as a susceptibility locus.

Authors:  E Y M G Fung; D J Smyth; J M M Howson; J D Cooper; N M Walker; H Stevens; L S Wicker; J A Todd
Journal:  Genes Immun       Date:  2008-12-25       Impact factor: 2.676

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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  3 in total

1.  Expression-based Genome-wide Association Study Links OPN and IL1-RA With Newly Diagnosed Type 1 Diabetes in Children.

Authors:  Xiaofan Jia; Kyoko Toda; Ling He; Dongmei Miao; Satoru Yamada; Liping Yu; Keiichi Kodama
Journal:  J Clin Endocrinol Metab       Date:  2022-06-16       Impact factor: 6.134

2.  Immunological biomarkers: catalysts for translational advances in autoimmune diabetes.

Authors:  S T Ahmed; E Akirav; E Bradshaw; J Buckner; E McKinney; F J Quintana; F Waldron-Lynch; J Nepom
Journal:  Clin Exp Immunol       Date:  2013-05       Impact factor: 4.330

Review 3.  Luminex and other multiplex high throughput technologies for the identification of, and host response to, environmental triggers of type 1 diabetes.

Authors:  Sharad Purohit; Ashok Sharma; Jin-Xiong She
Journal:  Biomed Res Int       Date:  2015-03-25       Impact factor: 3.411

  3 in total

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