Literature DB >> 26101197

Novel epigenetic determinants of type 2 diabetes in Mexican-American families.

Hemant Kulkarni1, Mark Z Kos2, Jennifer Neary3, Thomas D Dyer2, Jack W Kent3, Harald H H Göring2, Shelley A Cole3, Anthony G Comuzzie3, Laura Almasy2, Michael C Mahaney2, Joanne E Curran2, John Blangero2, Melanie A Carless3.   

Abstract

Although DNA methylation is now recognized as an important mediator of complex diseases, the extent to which the genetic basis of such diseases is accounted for by DNA methylation is unknown. In the setting of large, extended families representing a minority, high-risk population of the USA, we aimed to characterize the role of epigenome-wide DNA methylation in type 2 diabetes (T2D). Using Illumina HumanMethylation450 BeadChip arrays, we tested for association of DNA methylation at 446 356 sites with age, sex and phenotypic traits related to T2D in 850 pedigreed Mexican-American individuals. Robust statistical analyses showed that (i) 15% of the methylome is significantly heritable, with a median heritability of 0.14; (ii) DNA methylation at 14% of CpG sites is associated with nearby sequence variants; (iii) 22% and 3% of the autosomal CpG sites are associated with age and sex, respectively; (iv) 53 CpG sites were significantly associated with liability to T2D, fasting blood glucose and insulin resistance; (v) DNA methylation levels at five CpG sites, mapping to three well-characterized genes (TXNIP, ABCG1 and SAMD12) independently explained 7.8% of the heritability of T2D (vi) methylation at these five sites was unlikely to be influenced by neighboring DNA sequence variation. Our study has identified novel epigenetic indicators of T2D risk in Mexican Americans who have increased risk for this disease. These results provide new insights into potential treatment targets of T2D.
© The Author 2015. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

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Year:  2015        PMID: 26101197      PMCID: PMC4550817          DOI: 10.1093/hmg/ddv232

Source DB:  PubMed          Journal:  Hum Mol Genet        ISSN: 0964-6906            Impact factor:   6.150


  92 in total

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Authors:  J W MacCluer; M P Stern; L Almasy; L A Atwood; J Blangero; A G Comuzzie; B Dyke; S M Haffner; R D Henkel; J E Hixson; C M Kammerer; M C Mahaney; B D Mitchell; D L Rainwater; P B Samollow; R M Sharp; J L VandeBerg; J T Williams
Journal:  Nutr Rev       Date:  1999-05       Impact factor: 7.110

Review 2.  The genetics of type 2 diabetes: what have we learned from GWAS?

Authors:  Liana K Billings; Jose C Florez
Journal:  Ann N Y Acad Sci       Date:  2010-11       Impact factor: 5.691

3.  Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles.

Authors:  Aravind Subramanian; Pablo Tamayo; Vamsi K Mootha; Sayan Mukherjee; Benjamin L Ebert; Michael A Gillette; Amanda Paulovich; Scott L Pomeroy; Todd R Golub; Eric S Lander; Jill P Mesirov
Journal:  Proc Natl Acad Sci U S A       Date:  2005-09-30       Impact factor: 11.205

Review 4.  Genetic and epigenetic control of metabolic health.

Authors:  Robert Wolfgang Schwenk; Heike Vogel; Annette Schürmann
Journal:  Mol Metab       Date:  2013-09-25       Impact factor: 7.422

5.  Accounting for population stratification in DNA methylation studies.

Authors:  Richard T Barfield; Lynn M Almli; Varun Kilaru; Alicia K Smith; Kristina B Mercer; Richard Duncan; Torsten Klengel; Divya Mehta; Elisabeth B Binder; Michael P Epstein; Kerry J Ressler; Karen N Conneely
Journal:  Genet Epidemiol       Date:  2014-01-29       Impact factor: 2.135

6.  A combined LDL receptor/LDL receptor adaptor protein 1 mutation as the cause for severe familial hypercholesterolemia.

Authors:  Muhidien Soufi; Stephan Rust; Michael Walter; Juergen R Schaefer
Journal:  Gene       Date:  2013-03-17       Impact factor: 3.688

7.  Epigenome-wide scans identify differentially methylated regions for age and age-related phenotypes in a healthy ageing population.

Authors:  Jordana T Bell; Pei-Chien Tsai; Tsun-Po Yang; Ruth Pidsley; James Nisbet; Daniel Glass; Massimo Mangino; Guangju Zhai; Feng Zhang; Ana Valdes; So-Youn Shin; Emma L Dempster; Robin M Murray; Elin Grundberg; Asa K Hedman; Alexandra Nica; Kerrin S Small; Emmanouil T Dermitzakis; Mark I McCarthy; Jonathan Mill; Tim D Spector; Panos Deloukas
Journal:  PLoS Genet       Date:  2012-04-19       Impact factor: 5.917

8.  Pathview: an R/Bioconductor package for pathway-based data integration and visualization.

Authors:  Weijun Luo; Cory Brouwer
Journal:  Bioinformatics       Date:  2013-06-04       Impact factor: 6.937

Review 9.  Thioredoxin/Txnip: redoxisome, as a redox switch for the pathogenesis of diseases.

Authors:  Eiji Yoshihara; So Masaki; Yoshiyuki Matsuo; Zhe Chen; Hai Tian; Junji Yodoi
Journal:  Front Immunol       Date:  2014-01-09       Impact factor: 7.561

10.  Reduced expression of ATP-binding cassette transporter G1 increases cholesterol accumulation in macrophages of patients with type 2 diabetes mellitus.

Authors:  Jeremy P Mauldin; Melissa H Nagelin; Allison J Wojcik; Suseela Srinivasan; Marcus D Skaflen; Carlos R Ayers; Coleen A McNamara; Catherine C Hedrick
Journal:  Circulation       Date:  2008-05-19       Impact factor: 29.690

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  60 in total

1.  Epigenomic profiling reveals an association between persistence of DNA methylation and metabolic memory in the DCCT/EDIC type 1 diabetes cohort.

Authors:  Zhuo Chen; Feng Miao; Andrew D Paterson; John M Lachin; Lingxiao Zhang; Dustin E Schones; Xiwei Wu; Jinhui Wang; Joshua D Tompkins; Saul Genuth; Barbara H Braffett; Arthur D Riggs; Rama Natarajan
Journal:  Proc Natl Acad Sci U S A       Date:  2016-05-09       Impact factor: 11.205

2.  Type 2 diabetes and leucocyte DNA methylation: an epigenome-wide association study in over 1,500 older adults.

Authors:  Ines Florath; Katja Butterbach; Jonathan Heiss; Melanie Bewerunge-Hudler; Yan Zhang; Ben Schöttker; Hermann Brenner
Journal:  Diabetologia       Date:  2015-10-03       Impact factor: 10.122

3.  Positional effects revealed in Illumina methylation array and the impact on analysis.

Authors:  Chuan Jiao; Chunling Zhang; Rujia Dai; Yan Xia; Kangli Wang; Gina Giase; Chao Chen; Chunyu Liu
Journal:  Epigenomics       Date:  2018-02-22       Impact factor: 4.778

4.  DNA Methylation and Age-Independent Cardiovascular Risk, an Epigenome-Wide Approach: The REGICOR Study (REgistre GIroní del COR).

Authors:  Alba Fernández-Sanlés; Sergi Sayols-Baixeras; Santiago Curcio; Isaac Subirana; Jaume Marrugat; Roberto Elosua
Journal:  Arterioscler Thromb Vasc Biol       Date:  2018-01-11       Impact factor: 8.311

5.  Epigenetic Age Acceleration Assessed with Human White-Matter Images.

Authors:  Karen Hodgson; Melanie A Carless; Hemant Kulkarni; Joanne E Curran; Emma Sprooten; Emma E Knowles; Samuel Mathias; Harald H H Göring; Nailin Yao; Rene L Olvera; Peter T Fox; Laura Almasy; Ravi Duggirala; John Blangero; David C Glahn
Journal:  J Neurosci       Date:  2017-04-06       Impact factor: 6.167

6.  Identification and validation of seven new loci showing differential DNA methylation related to serum lipid profile: an epigenome-wide approach. The REGICOR study.

Authors:  S Sayols-Baixeras; I Subirana; C Lluis-Ganella; F Civeira; J Roquer; A N Do; D Absher; A Cenarro; D Muñoz; C Soriano-Tárraga; J Jiménez-Conde; J M Ordovas; M Senti; S Aslibekyan; J Marrugat; D K Arnett; R Elosua
Journal:  Hum Mol Genet       Date:  2016-10-15       Impact factor: 6.150

Review 7.  Epigenetic reprogramming in metabolic disorders: nutritional factors and beyond.

Authors:  Zhiyong Cheng; Louise Zheng; Fabio A Almeida
Journal:  J Nutr Biochem       Date:  2017-10-23       Impact factor: 6.048

8.  [Correlation between fasting plasma glucose, HbA1c and DNA methylation in adult twins].

Authors:  Z N Wang; W J Gao; B Q Wang; W H Cao; J Lv; C Q Yu; Z C Pang; L M Cong; H Wang; X P Wu; Y Liu; L M Li
Journal:  Beijing Da Xue Xue Bao Yi Xue Ban       Date:  2020-06-18

9.  Epigenome-wide association study in whole blood on type 2 diabetes among sub-Saharan African individuals: findings from the RODAM study.

Authors:  Karlijn A C Meeks; Peter Henneman; Andrea Venema; Juliet Addo; Silver Bahendeka; Tom Burr; Ina Danquah; Cecilia Galbete; Marcel M A M Mannens; Frank P Mockenhaupt; Ellis Owusu-Dabo; Charles N Rotimi; Matthias B Schulze; Liam Smeeth; Joachim Spranger; Mohammad H Zafarmand; Adebowale Adeyemo; Charles Agyemang
Journal:  Int J Epidemiol       Date:  2019-02-01       Impact factor: 7.196

10.  Epigenetic Signature of Impaired Fasting Glucose in the Old Order Amish.

Authors:  May E Montasser; Yu-Ching Cheng; Keith Tanner; Alan R Shuldiner; Jeffrey R O'Connell
Journal:  J Clin Epigenet       Date:  2017-06-16
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