Literature DB >> 16987876

How lifetimes shape epigenotype within and across generations.

Nadia C Whitelaw1, Emma Whitelaw.   

Abstract

Despite our detailed characterization of the human genome at the level of the primary DNA sequence, we are still far from understanding the molecular events underlying phenotypic variation. Epigenetic modifications to the DNA sequence and associated chromatin are known to regulate gene expression and, as such, are a significant contributor to phenotype. Studies of inbred mice and monozygotic twins show that variation in the epigenotype can be seen even between genetically identical individuals and that this, in some cases at least, is associated with phenotypic differences. Moreover, recent evidence suggests that the epigenome can be influenced by the environment and these changes can last a lifetime. However, we also know that epigenetic states in real-time are in continual flux and, as a result, the epigenome exhibits instability both within and across generations. We still do not understand the rules governing the establishment and maintenance of the epigenotype at any particular locus. The underlying DNA sequence itself and the sequence at unlinked loci (modifier loci) are certainly involved. Recent support for the existence of transgenerational epigenetic inheritance in mammals suggests that the epigenetic state of the locus in the previous generation may also play a role. Over the next decade, many of these processes will be better understood, heralding a greater capacity for us to correlate measurable molecular marks with phenotype and providing the opportunity for improved diagnosis and presymptomatic healthcare.

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Year:  2006        PMID: 16987876     DOI: 10.1093/hmg/ddl200

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


  41 in total

Review 1.  Environmental epigenetic transgenerational inheritance and somatic epigenetic mitotic stability.

Authors:  Michael K Skinner
Journal:  Epigenetics       Date:  2011-07-01       Impact factor: 4.528

Review 2.  Child health, developmental plasticity, and epigenetic programming.

Authors:  Z Hochberg; R Feil; M Constancia; M Fraga; C Junien; J-C Carel; P Boileau; Y Le Bouc; C L Deal; K Lillycrop; R Scharfmann; A Sheppard; M Skinner; M Szyf; R A Waterland; D J Waxman; E Whitelaw; K Ong; K Albertsson-Wikland
Journal:  Endocr Rev       Date:  2010-10-22       Impact factor: 19.871

Review 3.  Developing a sense of scents: plasticity in olfactory placode formation.

Authors:  K E Whitlock
Journal:  Brain Res Bull       Date:  2007-11-21       Impact factor: 4.077

Review 4.  Epigenetic programming of the germ line: effects of endocrine disruptors on the development of transgenerational disease.

Authors:  Matthew D Anway; Michael K Skinner
Journal:  Reprod Biomed Online       Date:  2008-01       Impact factor: 3.828

Review 5.  Developmental changes in serotonin signaling: Implications for early brain function, behavior and adaptation.

Authors:  S Brummelte; E Mc Glanaghy; A Bonnin; T F Oberlander
Journal:  Neuroscience       Date:  2016-02-22       Impact factor: 3.590

Review 6.  Dark matters in AMD genetics: epigenetics and stochasticity.

Authors:  Leonard M Hjelmeland
Journal:  Invest Ophthalmol Vis Sci       Date:  2011-03-01       Impact factor: 4.799

Review 7.  Improving Mental Health Access for Low-Income Children and Families in the Primary Care Setting.

Authors:  Stacy Hodgkinson; Leandra Godoy; Lee Savio Beers; Amy Lewin
Journal:  Pediatrics       Date:  2016-12-12       Impact factor: 7.124

8.  Transgene expression is associated with copy number and cytomegalovirus promoter methylation in transgenic pigs.

Authors:  Qingran Kong; Meiling Wu; Yanjun Huan; Li Zhang; Haiyan Liu; Gerelchimeg Bou; Yibo Luo; Yanshuang Mu; Zhonghua Liu
Journal:  PLoS One       Date:  2009-08-18       Impact factor: 3.240

9.  Hsp90 affecting chromatin remodeling might explain transgenerational epigenetic inheritance in Drosophila.

Authors:  Douglas M Ruden; Xiangyi Lu
Journal:  Curr Genomics       Date:  2008-11       Impact factor: 2.236

10.  Database of cattle candidate genes and genetic markers for milk production and mastitis.

Authors:  J Ogorevc; T Kunej; A Razpet; P Dovc
Journal:  Anim Genet       Date:  2009-06-08       Impact factor: 3.169

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