Literature DB >> 24667787

Characterization of the transcriptional machinery bound across the widely presumed type 2 diabetes causal variant, rs7903146, within TCF7L2.

Qianghua Xia1, Sandra Deliard1, Chao-Xing Yuan2, Matthew E Johnson1, Struan F A Grant3.   

Abstract

Resolving the underlying functional mechanism to a given genetic association has proven extremely challenging. However, the strongest associated type 2 diabetes (T2D) locus reported to date, TCF7L2, presents an opportunity for translational analyses, as many studies in multiple ethnicities strongly point to SNP rs7903146 in intron 3 as being the causal variant within this gene. We carried out oligo pull-down combined with mass spectrophotometry (MS) to elucidate the specific transcriptional machinery across this SNP using protein extracts from HCT116 cells. We observed that poly (ADP-ribose) polymerase 1 (PARP-1) is by far the most abundant binding factor. Pursuing the possibility of a feedback mechanism, we observed that PARP-1, along with the next most abundant binding proteins, DNA topoisomerase I and ATP-dependent RNA helicase A, dimerize with the TCF7L2 protein and with each other. We uncovered further evidence of a feedback mechanism using a luciferase reporter approach, including observing expression differences between alleles for rs7903146. We also found that there was an allelic difference in the MS results for proteins with less abundant binding, namely X-ray repair cross-complementing 5 and RPA/p70. Our results point to a protein complex binding across rs7903146 within TCF7L2 and suggests a possible mechanism by which this locus confers its T2D risk.

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Year:  2014        PMID: 24667787      PMCID: PMC4266734          DOI: 10.1038/ejhg.2014.48

Source DB:  PubMed          Journal:  Eur J Hum Genet        ISSN: 1018-4813            Impact factor:   4.246


  43 in total

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Authors:  Maria Malanga; Felix R Althaus
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2.  Poly(ADP-Ribose) polymerase is activated in subjects at risk of developing type 2 diabetes and is associated with impaired vascular reactivity.

Authors:  Csaba Szabó; Anne Zanchi; Katalin Komjáti; Pál Pacher; Andrzej S Krolewski; William C Quist; Frank W LoGerfo; Edward S Horton; Aristidis Veves
Journal:  Circulation       Date:  2002-11-19       Impact factor: 29.690

3.  The human T-cell transcription factor-4 gene: structure, extensive characterization of alternative splicings, and mutational analysis in colorectal cancer cell lines.

Authors:  A Duval; S Rolland; E Tubacher; H Bui; G Thomas; R Hamelin
Journal:  Cancer Res       Date:  2000-07-15       Impact factor: 12.701

4.  Poly(ADP-ribose) polymerase-deficient mice are protected from streptozotocin-induced diabetes.

Authors:  A A Pieper; D J Brat; D K Krug; C C Watkins; A Gupta; S Blackshaw; A Verma; Z Q Wang; S H Snyder
Journal:  Proc Natl Acad Sci U S A       Date:  1999-03-16       Impact factor: 11.205

5.  Depletion of epithelial stem-cell compartments in the small intestine of mice lacking Tcf-4.

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Journal:  Nat Genet       Date:  1998-08       Impact factor: 38.330

Review 6.  PARP goes transcription.

Authors:  W Lee Kraus; John T Lis
Journal:  Cell       Date:  2003-06-13       Impact factor: 41.582

7.  Role of poly(ADP-ribose) polymerase activation in diabetic neuropathy.

Authors:  Irina G Obrosova; Fei Li; Omorodola I Abatan; Mark A Forsell; Katalin Komjáti; Pal Pacher; Csaba Szabó; Martin J Stevens
Journal:  Diabetes       Date:  2004-03       Impact factor: 9.461

Review 8.  Regulation of chromatin structure and gene activity by poly(ADP-ribose) polymerases.

Authors:  Alexei Tulin; Yurii Chinenov; Allan Spradling
Journal:  Curr Top Dev Biol       Date:  2003       Impact factor: 4.897

9.  A genome-wide association study of type 2 diabetes in Finns detects multiple susceptibility variants.

Authors:  Laura J Scott; Karen L Mohlke; Lori L Bonnycastle; Cristen J Willer; Yun Li; William L Duren; Michael R Erdos; Heather M Stringham; Peter S Chines; Anne U Jackson; Ludmila Prokunina-Olsson; Chia-Jen Ding; Amy J Swift; Narisu Narisu; Tianle Hu; Randall Pruim; Rui Xiao; Xiao-Yi Li; Karen N Conneely; Nancy L Riebow; Andrew G Sprau; Maurine Tong; Peggy P White; Kurt N Hetrick; Michael W Barnhart; Craig W Bark; Janet L Goldstein; Lee Watkins; Fang Xiang; Jouko Saramies; Thomas A Buchanan; Richard M Watanabe; Timo T Valle; Leena Kinnunen; Gonçalo R Abecasis; Elizabeth W Pugh; Kimberly F Doheny; Richard N Bergman; Jaakko Tuomilehto; Francis S Collins; Michael Boehnke
Journal:  Science       Date:  2007-04-26       Impact factor: 47.728

10.  Bayesian refinement of association signals for 14 loci in 3 common diseases.

Authors:  Julian B Maller; Gilean McVean; Jake Byrnes; Damjan Vukcevic; Kimmo Palin; Zhan Su; Joanna M M Howson; Adam Auton; Simon Myers; Andrew Morris; Matti Pirinen; Matthew A Brown; Paul R Burton; Mark J Caulfield; Alastair Compston; Martin Farrall; Alistair S Hall; Andrew T Hattersley; Adrian V S Hill; Christopher G Mathew; Marcus Pembrey; Jack Satsangi; Michael R Stratton; Jane Worthington; Nick Craddock; Matthew Hurles; Willem Ouwehand; Miles Parkes; Nazneen Rahman; Audrey Duncanson; John A Todd; Dominic P Kwiatkowski; Nilesh J Samani; Stephen C L Gough; Mark I McCarthy; Panagiotis Deloukas; Peter Donnelly
Journal:  Nat Genet       Date:  2012-10-28       Impact factor: 38.330

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  10 in total

1.  The type 2 diabetes presumed causal variant within TCF7L2 resides in an element that controls the expression of ACSL5.

Authors:  Qianghua Xia; Alessandra Chesi; Elisabetta Manduchi; Brian T Johnston; Sumei Lu; Michelle E Leonard; Ursula W Parlin; Eric F Rappaport; Peng Huang; Andrew D Wells; Gerd A Blobel; Matthew E Johnson; Struan F A Grant
Journal:  Diabetologia       Date:  2016-08-18       Impact factor: 10.122

Review 2.  The TCF7L2 Locus: A Genetic Window Into the Pathogenesis of Type 1 and Type 2 Diabetes.

Authors:  Struan F A Grant
Journal:  Diabetes Care       Date:  2019-08-13       Impact factor: 19.112

3.  The landscape of GWAS validation; systematic review identifying 309 validated non-coding variants across 130 human diseases.

Authors:  Ammar J Alsheikh; Sabrina Wollenhaupt; Emily A King; Jonas Reeb; Sujana Ghosh; Lindsay R Stolzenburg; Saleh Tamim; Jozef Lazar; J Wade Davis; Howard J Jacob
Journal:  BMC Med Genomics       Date:  2022-04-01       Impact factor: 3.063

4.  The Rheumatoid Arthritis Risk Variant CCR6DNP Regulates CCR6 via PARP-1.

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Journal:  PLoS Genet       Date:  2016-09-14       Impact factor: 5.917

Review 5.  Genetic variants associated with gestational diabetes mellitus: a meta-analysis and subgroup analysis.

Authors:  Ling Wu; Long Cui; Wing Hung Tam; Ronald C W Ma; Chi Chiu Wang
Journal:  Sci Rep       Date:  2016-07-29       Impact factor: 4.379

6.  PARP-1 Inhibition Rescues Short Lifespan in Hyperglycemic C. Elegans And Improves GLP-1 Secretion in Human Cells.

Authors:  Qianghua Xia; Sumei Lu; Julian Ostrovsky; Shana E McCormack; Marni J Falk; Struan F A Grant
Journal:  Aging Dis       Date:  2018-02-01       Impact factor: 6.745

7.  Complex patterns of direct and indirect association between the transcription Factor-7 like 2 gene, body mass index and type 2 diabetes diagnosis in adulthood in the Hispanic Community Health Study/Study of Latinos.

Authors:  Lindsay Fernández-Rhodes; Annie Green Howard; Mariaelisa Graff; Carmen R Isasi; Heather M Highland; Kristin L Young; Esteban Parra; Jennifer E Below; Qibin Qi; Robert C Kaplan; Anne E Justice; George Papanicolaou; Cathy C Laurie; Struan F A Grant; Christopher Haiman; Ruth J F Loos; Kari E North
Journal:  BMC Obes       Date:  2018-10-02

Review 8.  Type 2 Diabetes-Associated Genetic Polymorphisms as Potential Disease Predictors.

Authors:  Beska Z Witka; Dede J Oktaviani; Marcellino Marcellino; Melisa I Barliana; Rizky Abdulah
Journal:  Diabetes Metab Syndr Obes       Date:  2019-12-18       Impact factor: 3.168

Review 9.  Editing GWAS: experimental approaches to dissect and exploit disease-associated genetic variation.

Authors:  Shuquan Rao; Yao Yao; Daniel E Bauer
Journal:  Genome Med       Date:  2021-03-10       Impact factor: 11.117

10.  Polymorphic genetic markers and how they are associated with clinical and metabolic indicators of type 2 diabetes mellitus in the Kazakh population.

Authors:  Valeriy V Benberin; Tamara A Vochshenkova; Gulshara Zh Abildinova; Anna V Borovikova; Almagul A Nagimtayeva
Journal:  J Diabetes Metab Disord       Date:  2021-01-20
  10 in total

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