Literature DB >> 25422794

The Influences of Genetic and Environmental Factors on Methylome-wide Association Studies for Human Diseases.

Yan V Sun1.   

Abstract

DNA methylation (DNAm) is an essential epigenetic mechanism for normal development, and its variation may be associated with diseases. High-throughput technology allows robust measurement of DNA methylome in population studies. Methylome-wide association studies (MWAS) scan DNA methylome to detect new epigenetic loci affecting disease susceptibility. MWAS is an emerging approach to unraveling the mechanism linking genetics, environment, and human diseases. Here I review the recent studies of genetic determinants and environmental modifiers of DNAm, and the concept for partitioning genetic and environmental contribution to DNAm. These studies establish the correlation maps between genome and methylome, and enable the interpretation of epigenetic association with disease traits. Recent findings suggested that MWAS was a promising genomic method to identify epigenetic predictors accounting for unexplained disease risk. However, new study designs, analytical methods and shared resources need to be implemented to address the limitations and challenges in future epigenomic epidemiologic studies.

Entities:  

Keywords:  DNA methylation; epigenetic epidemiology; epigenetics; epigenome-wide association study (EWAS); epigenomics; gene-environment interaction; genetic epidemiology; methylome-wide association study (MWAS); monozygotic twin

Year:  2014        PMID: 25422794      PMCID: PMC4239213          DOI: 10.1007/s40142-014-0058-2

Source DB:  PubMed          Journal:  Curr Genet Med Rep        ISSN: 2167-4876


  89 in total

1.  A vision for the future of genomics research.

Authors:  Francis S Collins; Eric D Green; Alan E Guttmacher; Mark S Guyer
Journal:  Nature       Date:  2003-04-14       Impact factor: 49.962

2.  Apolipoprotein E isoforms, serum cholesterol, and cancer.

Authors:  M B Katan
Journal:  Lancet       Date:  1986-03-01       Impact factor: 79.321

3.  Cigarette smoking behaviors and time since quitting are associated with differential DNA methylation across the human genome.

Authors:  Emily S Wan; Weiliang Qiu; Andrea Baccarelli; Vincent J Carey; Helene Bacherman; Stephen I Rennard; Alvar Agusti; Wayne Anderson; David A Lomas; Dawn L Demeo
Journal:  Hum Mol Genet       Date:  2012-04-06       Impact factor: 6.150

4.  Aberrant DNA methylation associated with bipolar disorder identified from discordant monozygotic twins.

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Journal:  Mol Psychiatry       Date:  2007-05-01       Impact factor: 15.992

Review 5.  AhR and ARNT modulate ER signaling.

Authors:  Elin Swedenborg; Ingemar Pongratz
Journal:  Toxicology       Date:  2009-09-22       Impact factor: 4.221

6.  Epigenome-wide association study in the European Prospective Investigation into Cancer and Nutrition (EPIC-Turin) identifies novel genetic loci associated with smoking.

Authors:  Natalie S Shenker; Silvia Polidoro; Karin van Veldhoven; Carlotta Sacerdote; Fulvio Ricceri; Mark A Birrell; Maria G Belvisi; Robert Brown; Paolo Vineis; James M Flanagan
Journal:  Hum Mol Genet       Date:  2012-11-21       Impact factor: 6.150

Review 7.  Environmental toxicants, epigenetics, and cancer.

Authors:  Igor P Pogribny; Ivan Rusyn
Journal:  Adv Exp Med Biol       Date:  2013       Impact factor: 2.622

8.  Monozygotic twins exhibit numerous epigenetic differences: clues to twin discordance?

Authors:  Arturas Petronis; Irving I Gottesman; Peixiang Kan; James L Kennedy; Vincenzo S Basile; Andrew D Paterson; Violeta Popendikyte
Journal:  Schizophr Bull       Date:  2003       Impact factor: 9.306

9.  Enrichment of cis-regulatory gene expression SNPs and methylation quantitative trait loci among bipolar disorder susceptibility variants.

Authors:  E R Gamazon; J A Badner; L Cheng; C Zhang; D Zhang; N J Cox; E S Gershon; J R Kelsoe; T A Greenwood; C M Nievergelt; C Chen; R McKinney; P D Shilling; N J Schork; E N Smith; C S Bloss; J I Nurnberger; H J Edenberg; T Foroud; D L Koller; W A Scheftner; W Coryell; J Rice; W B Lawson; E A Nwulia; M Hipolito; W Byerley; F J McMahon; T G Schulze; W H Berrettini; J B Potash; P P Zandi; P B Mahon; M G McInnis; S Zöllner; P Zhang; D W Craig; S Szelinger; T B Barrett; C Liu
Journal:  Mol Psychiatry       Date:  2012-01-03       Impact factor: 15.992

10.  The effect of smoking on DNA methylation of peripheral blood mononuclear cells from African American women.

Authors:  Meeshanthini V Dogan; Bridget Shields; Carolyn Cutrona; Long Gao; Frederick X Gibbons; Ronald Simons; Martha Monick; Gene H Brody; Kai Tan; Steven R H Beach; Robert A Philibert
Journal:  BMC Genomics       Date:  2014-02-22       Impact factor: 3.969

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  9 in total

Review 1.  Integrative Analysis of Multi-omics Data for Discovery and Functional Studies of Complex Human Diseases.

Authors:  Yan V Sun; Yi-Juan Hu
Journal:  Adv Genet       Date:  2016-01-25       Impact factor: 1.944

Review 2.  Decoding the non-coding genome: elucidating genetic risk outside the coding genome.

Authors:  C L Barr; V L Misener
Journal:  Genes Brain Behav       Date:  2016-01-04       Impact factor: 3.449

3.  Soluble CD14-associated DNA methylation sites predict mortality among men with HIV infection.

Authors:  Boghuma K Titanji; Zeyuan Wang; Junyu Chen; Qin Hui; Kaku So-Armah; Matthew Freiberg; Amy C Justice; Xu Ke; Vincent C Marconi; Yan V Sun
Journal:  AIDS       Date:  2022-06-21       Impact factor: 4.632

4.  The Intergenerational Impact of Genetic and Psychological Factors on Blood Pressure (InterGEN) Study: Design and Methods for Complex DNA Analysis.

Authors:  Jacquelyn Y Taylor; Michelle L Wright; Cindy A Crusto; Yan V Sun
Journal:  Biol Res Nurs       Date:  2016-04-26       Impact factor: 2.522

5.  Gene, Environment and Methylation (GEM): a tool suite to efficiently navigate large scale epigenome wide association studies and integrate genotype and interaction between genotype and environment.

Authors:  Hong Pan; Joanna D Holbrook; Neerja Karnani; Chee Keong Kwoh
Journal:  BMC Bioinformatics       Date:  2016-08-02       Impact factor: 3.169

6.  X chromosome-wide analysis identifies DNA methylation sites influenced by cigarette smoking.

Authors:  Daniella Klebaner; Yunfeng Huang; Qin Hui; Jacquelyn Y Taylor; Jack Goldberg; Viola Vaccarino; Yan V Sun
Journal:  Clin Epigenetics       Date:  2016-02-24       Impact factor: 6.551

7.  Relationship of tobacco smoking and smoking-related DNA methylation with epigenetic age acceleration.

Authors:  Xu Gao; Yan Zhang; Lutz Philipp Breitling; Hermann Brenner
Journal:  Oncotarget       Date:  2016-07-26

8.  Physiological tissue-specific and age-related reduction of mouse TDP-43 levels is regulated by epigenetic modifications.

Authors:  Miriam Pacetti; Laura De Conti; Luciano E Marasco; Maurizio Romano; Mohammad M Rashid; Martina Nubiè; Francisco E Baralle; Marco Baralle
Journal:  Dis Model Mech       Date:  2022-04-29       Impact factor: 5.732

9.  DNA methylation signatures of adolescent victimization: analysis of a longitudinal monozygotic twin sample.

Authors:  Radhika Kandaswamy; Eilis Hannon; Louise Arseneault; Georgina Mansell; Karen Sugden; Benjamin Williams; Joe Burrage; James R Staley; Ehsan Pishva; Aisha Dahir; Susanna Roberts; Andrea Danese; Jonathan Mill; Helen L Fisher; Chloe C Y Wong
Journal:  Epigenetics       Date:  2020-12-29       Impact factor: 4.528

  9 in total

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