Literature DB >> 18640619

Future impact of integrated high-throughput methylome analyses on human health and disease.

Lee M Butcher1, Stephan Beck.   

Abstract

A spate of high-powered genome-wide association studies (GWAS) have recently identified numerous single-nucleotide polymorphisms (SNPs) robustly linked with complex disease. Despite interrogating the majority of common human variation, these SNPs only account for a small proportion of the phenotypic variance, which suggests genetic factors are acting in concert with non-genetic factors. Although environmental measures are logical covariants for genotype-phenotype investigations, another non-genetic intermediary exists: epigenetics. Epigenetics is the analysis of somatically-acquired and, in some cases, transgenerationally inherited epigenetic modifications that regulate gene expression, and offers to bridge the gap between genetics and environment to understand phenotype. The most widely studied epigenetic mark is DNA methylation. Aberrant methylation at gene promoters is strongly implicated in disease etiology, most notably cancer. This review will highlight the importance of DNA methylation as an epigenetic regulator, outline techniques to characterize the DNA methylome and present the idea of reverse phenotyping, where multiple layers of analysis are integrated at the individual level to create personalized digital phenotypes and, at a phenotype level, to identify novel molecular signatures of disease.

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Year:  2008        PMID: 18640619     DOI: 10.1016/S1673-8527(08)60057-0

Source DB:  PubMed          Journal:  J Genet Genomics        ISSN: 1673-8527            Impact factor:   4.275


  18 in total

1.  Genome-wide association studies: hypothesis-"free" or "engaged"?

Authors:  Georgios D Kitsios; Elias Zintzaras
Journal:  Transl Res       Date:  2009-07-29       Impact factor: 7.012

Review 2.  Interindividual variation in epigenomic phenomena in humans.

Authors:  Hugh J French; Rosalind Attenborough; Kristine Hardy; M Frances Shannon; Rohan B H Williams
Journal:  Mamm Genome       Date:  2009-09-18       Impact factor: 2.957

3.  Impact of methylation on the physical properties of DNA.

Authors:  Alberto Pérez; Chiara Lara Castellazzi; Federica Battistini; Kathryn Collinet; Oscar Flores; Ozgen Deniz; Maria Luz Ruiz; David Torrents; Ramon Eritja; Montserrat Soler-López; Modesto Orozco
Journal:  Biophys J       Date:  2012-05-02       Impact factor: 4.033

4.  Messenger RNA expression and methylation of candidate tumor-suppressor genes and risk of ovarian cancer-a case-control analysis.

Authors:  Jiaze An; Qingyi Wei; Zhensheng Liu; Karen H Lu; Xi Cheng; Gordon B Mills; Li-E Wang
Journal:  Int J Mol Epidemiol Genet       Date:  2010

Review 5.  Allele-specific and heritable chromatin signatures in humans.

Authors:  Ewan Birney; Jason D Lieb; Terrence S Furey; Gregory E Crawford; Vishwanath R Iyer
Journal:  Hum Mol Genet       Date:  2010-09-16       Impact factor: 6.150

Review 6.  Pharmacologic management of Duchenne muscular dystrophy: target identification and preclinical trials.

Authors:  Joe N Kornegay; Christopher F Spurney; Peter P Nghiem; Candice L Brinkmeyer-Langford; Eric P Hoffman; Kanneboyina Nagaraju
Journal:  ILAR J       Date:  2014

7.  Gene × environment interaction by a longitudinal epigenome-wide association study (LEWAS) overcomes limitations of genome-wide association study (GWAS).

Authors:  Debomoy K Lahiri; Bryan Maloney
Journal:  Epigenomics       Date:  2012-12       Impact factor: 4.778

8.  AutoMeDIP-seq: a high-throughput, whole genome, DNA methylation assay.

Authors:  Lee M Butcher; Stephan Beck
Journal:  Methods       Date:  2010-04-10       Impact factor: 3.608

Review 9.  Promoter methylation and the detection of breast cancer.

Authors:  Jennifer Brooks; Paul Cairns; Anne Zeleniuch-Jacquotte
Journal:  Cancer Causes Control       Date:  2009-11       Impact factor: 2.506

10.  Epigenetic regulation of COL15A1 in smooth muscle cell replicative aging and atherosclerosis.

Authors:  Jessica J Connelly; Olga A Cherepanova; Jennifer F Doss; Themistoclis Karaoli; Travis S Lillard; Christina A Markunas; Sarah Nelson; Tianyuan Wang; Peter D Ellis; Cordelia F Langford; Carol Haynes; David M Seo; Pascal J Goldschmidt-Clermont; Svati H Shah; William E Kraus; Elizabeth R Hauser; Simon G Gregory
Journal:  Hum Mol Genet       Date:  2013-08-02       Impact factor: 6.150

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