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Linking inter-individual variability to endocrine disruptors: insights for epigenetic inheritance

Overview of attention for article published in Mammalian Genome, December 2017
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Title
Linking inter-individual variability to endocrine disruptors: insights for epigenetic inheritance
Published in
Mammalian Genome, December 2017
DOI 10.1007/s00335-017-9729-0
Pubmed ID
Authors

Sarah E. Latchney, Ashley M. Fields, Martha Susiarjo

Abstract

Endocrine disrupting chemicals (EDCs) can induce a myriad of adverse health effects. An area of active investigation is the multi- and transgenerational inheritance of EDC-induced adverse health effects referring to the transmission of phenotypes across multiple generations via the germline. The inheritance of EDC-induced adverse health effects across multiple generations can occur independent of genetics, spurring much research into the transmission of underlying epigenetic mechanisms. Epigenetic mechanisms play important roles in the development of an organism and are responsive to environmental exposures. To date, rodent studies have demonstrated that acquired epigenetic marks, particularly DNA methylation, that are inherited following parental EDC exposure can escape embryonic epigenome reprogramming. The acquired epimutations can lead to subsequent adult-onset diseases. Increasing studies have reported inter-individual variations that occur with epigenetic inheritance. Factors that underlie differences among individuals could reveal previously unidentified mechanisms of epigenetic transmission. In this review, we give an overview of DNA methylation and posttranslational histone modification as the potential mechanisms for disease transmission, and define the requirements for multi- and transgenerational epigenetic inheritance. We subsequently evaluate rodent studies investigating how acquired changes in epigenetic marks especially DNA methylation across multiple generations can vary among individuals following parental EDC exposure. We also discuss potential sources of inter-individual variations and the challenges in identifying these variations. We conclude our review discussing the challenges in applying rodent generational studies to humans.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 6 18%
Student > Ph. D. Student 4 12%
Researcher 4 12%
Student > Master 3 9%
Professor 2 6%
Other 4 12%
Unknown 10 30%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 24%
Medicine and Dentistry 3 9%
Agricultural and Biological Sciences 3 9%
Nursing and Health Professions 2 6%
Environmental Science 1 3%
Other 5 15%
Unknown 11 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 December 2017.
All research outputs
#18,578,649
of 23,011,300 outputs
Outputs from Mammalian Genome
#1,005
of 1,127 outputs
Outputs of similar age
#327,565
of 440,043 outputs
Outputs of similar age from Mammalian Genome
#8
of 9 outputs
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